13 programming-"Multiple"-"U"-"U.S"-"O.P"-"Humboldt-Stiftung-Foundation" research jobs in United Arab Emirates
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. Basic programming skills (e.g., MATLAB, Python) for data handling and sensor signal analysis. Enthusiasm for interdisciplinary research and the ability to support multiple concurrent projects. The terms
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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on the physical layer and MAC layer design for wireless systems, particularly across multiple spectrum bands. The PDA is expected to actively disseminate results through publications in high-impact journals and
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experience working on machine learning and/or robotics projects. This position requires excellent computational and data management skills and a knowledge of programming frameworks such as Python, PyTorch
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Description Professors Samreen Malik, Jordan Norris, and Alaïs Martin-Baillon at New York University Abu Dhabi are seeking a full-time Research Assistant (RA) to support multiple ongoing research
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participants and in patients with Multiple Sclerosis (and potentially other health and mental health conditions). The Research Assistant will ensure the successful acquisition and analysis of experimental data
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Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep
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multiple projects in urban sociology, inequality and social networks, broadly construed. The successful applicant will contribute to one or more interdisciplinary projects. Example projects include the study
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consisting of PhD-level scientists, graduate students and undergraduate students and across multiple institutions (Khalifa University, Cornell University). Applicants must have a PhD in Bioengineering or
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collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health