500 Research Assistants jobs in the United Arab Emirates
Research Assistant
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We are seeking a highly motivated and organized research assistant to support our team in conducting research and analysis. The successful candidate will have strong analytical skills, excellent communication abilities, and a keen interest in human resource management.
">Job Description:
- Job Purpose:
- Conduct research and analysis to support the development of human capital and enhance organizational performance.
- Design and execute data collection plans, including surveys and interviews.
- Perform statistical analysis using computer software.
- Prepare tables, reports, and presentations summarizing research findings.
- Collaborate with team members to identify relevant literature and conduct systematic reviews.
- Key Responsibilities:
- Data entry, transcribing, recording, storing, and maintaining data.
- Identify and analyze data trends, patterns, and correlations.
- Develop and maintain databases and spreadsheets for data storage and analysis.
- Assist in preparing manuscripts for publication and presenting research findings.
- Participate in administrative and logistical procedures to support the mission of the research center.
Required Skills and Qualifications:
- Education:
- Master's degree in Business Administration, Human Resources Management, Social Sciences, or related fields.
- Bachelor's degree with extensive research experience in the field may be considered.
- Skills and Abilities:
- Excellent verbal and written communication skills.
- Analytical and problem-solving skills.
- Strong background in human resources management and career development.
- Technical skills in designing and conducting research using quantitative, qualitative, and mixed methods.
Benefits:
- Salary:
- Competitive salary package.
- Benefits:
- Generous benefits package.
How to Apply:
- Submit your application package, including a cover letter, detailed resume, names of at least three references with contact information, research statement, and outreach statement.
- Attach all required documents to the website.
Desired Candidate Profile
We are looking for a highly motivated and organized research assistant who has a strong background in human resources management and career development. If you have excellent analytical and problem-solving skills, and are able to work effectively in a team environment, we encourage you to apply.
Research Assistant
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The Media Science Person's Main Functions will be:
- Represents the center as its main contact for the media.
- Handles all dealings with the media.
- Wide range of responsibilities, from preparing press releases and organizing press conferences and interviews, to liaising with media contacts and monitoring media coverage of the organization.
- Managing all Social Media's news. making sure of posting day to day posts related to visits, research activities that will be done at the center, conferences, workshops, talks and any exciting information
- Communication with external organizations
- Bachelor's degree and work experience in related field
- Master's degree and work experience in related field
- Strong Language Skills in Arabic and English
- Preparing and writing articles and press releases.
- Handling enquiries from journalists and other media contacts via telephone calls, email, and written correspondence.
- Arranging and organizing events, interviews, and press conferences.
- Communicate with media representatives and managers.
- Monitoring current affairs and coverage of the organization within the media.
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Research Assistant
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The Mechanical Engineering Department at the United Arab Emirates University is seeking a Research Assistant in the area of computational catalysis to support experimental work related to H2 production from dry reforming of methane over metal–organic frameworks. The research assistant should be proficient with DFT codes such as VASP to obtain structural, thermal, and electronic properties of MOF-based materials and to map out reaction pathways leading to the formation of H2 and CO.
Responsibilities- Optimize catalytic surfaces that mediate the production of hydrogen from dry reforming of methane.
- Acquire properties of MOF-based materials via DFT calculations.
- Construct and evaluate reaction mechanisms for the catalyzed formation of hydrogen.
The short-term position (6 months) is to provide theoretical insight into experimental work. Detailed tasks include:
- Optimize catalytic surfaces that mediate the production of H2 from dry reforming of methane.
- Acquire properties of the materials via DFT calculations.
- Construct reaction mechanisms for the catalyzed formation of H2.
- PhD in Computational Condensed Matter or a closely related field.
- Experience running DFT codes on high-performance computing (HPC) clusters.
- Adaptability and flexibility to the changing demands of research.
- Strong collaboration and ability to work closely with other researchers in the project.
- Publications in areas related to computational catalysis.
Closing date: 31/10/2025.
Location: Abu Dhabi, United Arab Emirates.
#J-18808-LjbffrResearch Assistant
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Posted : 08-Aug-25
Location : Abu Dhabi, UAE
Internal Number :
The SANAD lab at NYUAD is hiring a a Research Assistant / Associate (RA) to work with Dr. Karim Ali in the Division of Science (Computer Science Program) at New York University Abu Dhabi. The candidate will conduct research on programming languages and software engineering, develop open-source tools and resources, and work on publications related to their research.
Candidates must hold (or be close to completing) a bachelor's degree in Computer Science. As an RA, you will be involved in all aspects of our research, including conducting literature reviews, collecting and analyzing data, implementing tools, running experiments, and writing papers. This is an excellent opportunity to develop your research skills and your publication record, especially if you are considering pursuing a Master's or PhD degree.
This is a full-time position with a 1-year contract, with potential to renew depending on performance and funding. The position is based at New York University in Abu Dhabi, and the candidate must be ready to relocate to the United Arab Emirates. The terms of employment are very competitive and include housing and other benefits. Applications will be reviewed immediately with an anticipated start date somewhere during Fall .
Minimum Qualifications :
- Bachelor's degree in Computer Science (coursework / projects must include software engineering related topics)
- Excellent programming skills
- Strong software engineering skills including use of version control systems, continuous integration, testing
- Excellent communication skills (both written and verbal)
- Demonstrated ability to work as part of a team
Preferred Qualifications :
Research Assistant
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Join to apply for the Research Assistant (Pipeline Health Monitoring) role at United Arab Emirates University, Department of Family Medicine
Research Assistant (Pipeline Health Monitoring)3 days ago Be among the first 25 applicants
Join to apply for the Research Assistant (Pipeline Health Monitoring) role at United Arab Emirates University, Department of Family Medicine
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Job Description
This research position focuses on developing a novel approach for monitoring the integrity of buried pipelines, particularly non-metallic or composite ones, to detect minute defects. The proposed method involves deploying a distributed network of sensors integrated into the pipeline's composite structure to continuously monitor its deflection profile. The role will include developing theoretical equations based on finite element theory to govern the dynamic interactions between the pipeline and surrounding soil, streamlining deflection monitoring and defect localization. The successful candidate will contribute to optimizing sensor network parameters, building and testing experimental prototypes of defective and buried pipelines, and verifying theoretical predictions through experimentation. The goal is to accurately identify defect locations and extents using "structural power flow" as a reliable indicator. This position also involves tasks related to transferring the developed technology to an industrial sponsor.
- A bachelor's degree in a relevant engineering field is required.
- The candidate should have demonstrated experience or a strong interest in structural analysis, sensing technologies, and potentially finite element analysis.
- Knowledge of a any programming language (eg: Matlab, …)
This research position focuses on developing a novel approach for monitoring the integrity of buried pipelines, particularly non-metallic or composite ones, to detect minute defects. The proposed method involves deploying a distributed network of sensors integrated into the pipeline's composite structure to continuously monitor its deflection profile. The role will include developing theoretical equations based on finite element theory to govern the dynamic interactions between the pipeline and surrounding soil, streamlining deflection monitoring and defect localization. The successful candidate will contribute to optimizing sensor network parameters, building and testing experimental prototypes of defective and buried pipelines, and verifying theoretical predictions through experimentation. The goal is to accurately identify defect locations and extents using "structural power flow" as a reliable indicator. This position also involves tasks related to transferring the developed technology to an industrial sponsor.
Minimum Qualification
- A bachelor's degree in a relevant engineering field is required.
- The candidate should have demonstrated experience or a strong interest in structural analysis, sensing technologies, and potentially finite element analysis.
- Knowledge of a any programming language (eg: Matlab, …)
- A Master's degree is preferred but not needed.
- The ideal candidate should possess a comprehensive understanding of structural mechanics, finite element theory, and distributed sensor networks.
- Previous experience in theoretical modeling, experimental setup, and data analysis (e.g., using MATLAB) for structural health monitoring or defect detection in pipelines is highly desirable.
- Familiarity with concepts like "structural power flow" and its application in health monitoring is a significant advantage.
Submit a detailed CV + Cover letter
Close Date Kindly apply before the closing date.
30/09/2025
Apply
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Position NumberSeniority level
- Seniority level Internship
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- Industries Higher Education
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#J-18808-LjbffrResearch Assistant
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Join to apply for the Research Assistant (Molecular Entomology) role at United Arab Emirates University, Department of Family Medicine.
The KCGEB is recruiting a research assistant to assist the Entomology program in establishing and conducting experiments, as well as assisting with data collection. The project involves handling insects, maintaining Red palm weevil colonies, molecular biology techniques, and genomics. Preference will be given to candidates with experience in molecular biology, cell culture, handling animals, and basic bioinformatics.
Minimum QualificationBachelor's degree or higher in molecular biology or a related field.
Preferred QualificationMaster's degree with experience in molecular biology techniques. Working knowledge of moderately complex research equipment, materials, and processes. Good written and oral communication skills are essential.
Expected Skills- Enthusiastic with a strong desire to learn
- Excellent hands-on skills in manipulating all stages of the red palm weevil and other insects
- Flexibility to work according to the needs of experiments
Kindly apply before the closing date. The position is open until filled.
Additional InformationSeniority level: Entry level
Employment type: Full-time
Job function: Research, Analysis, and Information Technology
Industry: Higher Education
Location: Abu Dhabi, United Arab Emirates
#J-18808-LjbffrResearch Assistant
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The Integrative Agriculture Department at the College of Agriculture and Veterinary Medicine is seeking a Research Assistant to support horticulture research, with a focus on microalgae culturing and biomass production in an aquaponic system. The project involves the application of cell culture techniques, extraction and characterization of bioactive compounds, and molecular analysis of algae species (DNA or RNA extraction, PCR amplification). The candidate will also conduct biochemical and nutritional analyses to quantify proteins, lipids, carbohydrates and mineral content of algal biomass. Preference will be given to candidates with prior experience in horticulture projects, especially those involving aquaponics; feeding trials and system performance assessment will have to be designed and conducted by the candidate. To apply, submit a comprehensive Curriculum Vitae (CV/Resumé), along with a recommendation letter and statements highlighting relevant research skills. The selected candidate should have strong writing skills for publications. This opportunity offers a chance to contribute significantly to current research in horticulture within a collaborative academic environment.
Responsibilities- Contribute to research projects in horticulture with a focus on microalgae culturing and biomass production in an aquaponic system.
- Apply cell culture techniques, perform extractions, and characterize bioactive compounds.
- Conduct molecular analyses of algae species (DNA/RNA extraction, PCR amplification).
- Perform biochemical and nutritional analyses to quantify proteins, lipids, carbohydrates and mineral content of algal biomass.
- Assist in designing and conducting feeding trials and assessing system performance in aquaponic setups.
- Collaborate on data analysis and contribute to publications through strong writing skills.
- Minimum Qualification: Master's Degree in Biotechnology or Horticulture.
- Preferred Qualification: Master's Degree in Biotechnology with work experience in cell culture and aquaponic production systems.
- Expected Skills: experience in cell culture and aquaponic production systems.
- Salary Range: 7000
- Close Date: 30/09/2025
- Application Process: Submit CV (Resumé), recommendation letter, and statements highlighting relevant research skills.
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Research Assistant
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Join to apply for the Research Assistant role at United Arab Emirates University, Department of Marketing & Entrepreneurship .
Location: Abu Dhabi, United Arab Emirates. This position is part of a research project funded by the UAEU UPAR Grant on the entrepreneurial ecosystem.
Responsibilities- Conduct literature reviews related to the entrepreneurial ecosystem.
- Conduct surveys to collect primary data and analyze the results.
- Prepare final reports and contribute to manuscript preparation as required.
- Minimum Qualification: MBA or Master's degree holder.
- Bachelor's degree in Business or related areas (preferred).
- Preferred: Previous work experience as a Research Assistant.
- Ability to work independently or in a team to prepare and conduct surveys with other researchers.
- Department: Marketing & Entrepreneurship, College of Business & Economics, United Arab Emirates University (UAEU).
- Posting/Position: Research Assistant
- Employment type: Full-time
- Job function: Research, Analyst, and Information Technology
- Industries: Higher Education
- Close Date: 31/12/2025 (Kindly apply before the closing date).
- Apply process: See posting details for application instructions.
Note: This description retains the original job content and context while removing extraneous postings and boilerplate.
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Research Assistant
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The Department of Chemistry at the United Arab Emirates University (UAEU) is seeking applications for a full-time research assistant to target overexpressing proteins in breast cancer using a combination of drugs by a unique targeted drug delivery system. The successful candidate will be offered a two-year position in a research project supported by a UAEU research council. The candidate will be involved in a project investigating the delivery of drugs in breast cancer cell lines and in-vivo mouse models. The goal of the project is to validate the effectiveness of our novel delivery system, assessing the potential of targeting different proteins for HER2+ cancer management, and exploring broader therapeutic applications. Cell culturing techniques coupled with molecular biology techniques, data analysis, and in vivo studies on breast cancer mouse models will be done in the project.
Minimum Qualification
Highly self-motivated candidates with or fresh PhD in Biochemistry/Immunology/Oncology with a strong academic track record and relevant experience in molecular biology (cloning, electrophoresis, protein purification, western blotting, qPCR), cell culturing techniques, basic bioinformatics, and mice handling techniques are encouraged to apply. Practical experience with HER2+ breast cancer cells, drug delivery systems, and animal handling would be advantageous.
Preferred Qualification
Fresh PhD in Biochemistry/Immunology/Oncology.
Expected Skills
Candidates with experience in qPCR, electrophoresis, western blotting, tissue culture, protein purification techniques, drug delivery and cell toxicity assays, mice handling techniques, and data analysis are required. Candidates having experience in targeting breast cancer proteins/pathways in cell culture and animal models would be preferred. Excellent oral and written communication skills in English and the ability to work well in a collaborative environment with skills in networking. The selected candidate is expected to: 1) Conduct lab work 2) Analyse data; 3) Keep scientific books updated on daily bases; 4) Prepare manuscripts for publication in peer-reviewed scientific journals; 5) Purchase lab chemicals and manage project funds 6) Assist in supervising/mentoring undergraduate and graduate students. To apply for the position applicant must include: 1) A cover letter including a motivation statement for the position; 2) CV (summarizing education, positions and academic work, scientific publications, and other relevant experience); 3) Copies of educational certificates and/or transcripts of records; 4) List of publications and academic work that the applicant wishes to be considered by the evaluating committee; and 4) Names and contact details of three references (name, affiliation, relation to candidate, e-mail and telephone number; the references will be contacted if necessary therefore letters of recommendation are not required for the initial application).
Close Date Kindly apply before the closing date.
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Research Assistant
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The Civil and Environmental Engineering Department at the United Arab Emirates University is seeking a highly motivated research assistant to contribute to an interdisciplinary research project focused on disaster risk management (DRM) using remote sensing (RS) and artificial intelligence (AI). The project aims to develop innovative methods for detecting, monitoring, and assessing natural and human-induced hazards (e.g., floods, earthquakes, wildfires, erosion) to support sustainable development and climate resilience, in alignment with the COP28 UAE Declaration on Climate. The research assistant should be knowledgeable of Remote Sensing and GIS techniques.
Minimum Qualification
An appropriate educational degree supplemented with documented evidence to support the following:
- Collect, process, and analyze remote sensing datasets.
- Develop and implement AI/ML models for hazard detection, risk assessment, and early warning systems.
- Conduct geospatial analysis (GIS-based modeling, change detection, vulnerability mapping).
- Review literature on disaster risk reduction (DRR), climate adaptation, and AI applications in geosciences.
- Assist in writing research papers, reports, and presentations for conferences/journals.
- Collaborate with researchers, government agencies, and stakeholders in the UAE and globally.
- Bachelor's/master's degree in civil engineering, Geomatics, Geography, Environmental Science, Computer Science, Geophysics, or a related field.
- Experience in remote sensing (e.g., Sentinel, Landsat, MODIS, SAR) and GIS software (ArcGIS Pro, QGIS, Google Earth Engine).
- Programming skills (Python, R, or MATLAB) for geospatial data analysis.
- Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong analytical and technical writing skills.
- Ability to work independently and in a team.
- Be adaptable and flexible to the continuous changes associated with research demands.
17/09/2025
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