10 experiment-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Arab Emirates
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the candidate’s own research questions. The position does not require teaching. However, should the candidate wish to gain teaching experience, opportunities may be available for additional compensation. You would
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computer science, or related fields to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data. Communication
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
, with a start date of November 2026. The successful candidate will have prior research experience, both computational and experimental, in the broad field of nonlinear mechanics. Preference will be given
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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, and Samreen Malik. The collaborative research will be on macroeconomic expectations, with a focus on firms and the role of networks. An ideal candidate may have experience with surveys and have
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structure determination using electron or X-ray crystallography. Candidates must have substantial experience in crystallography, specifically in the structure solution and refinement of small molecule
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI