163 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions in United Arab Emirates
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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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collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include Expertise in several areas among
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position must have a Master and well-documented experience (at least 4 years), or a PhD in Chemistry, Pharmaceutical Chemistry or Biotechnology, and experimental skills in mass-spectrometry-based
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must hold a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong publication record in AI-driven energy solutions. Proficiency in machine learning
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environment alongside PhD-level engineers and scientists, graduate students, and full-time researchers. They will also have the chance to contribute to other projects within CENTMED, working on cutting-edge
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Description The Applied Computational Engineering laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Associate to work on the numerical modeling
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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, cardiovascular, and neurologic diseases. These projects entail computational modelling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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. You will also contribute to programme development, module leadership, and research activities aligned with international and industry standards. Key Responsibilities Deliver high-quality teaching across
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Unmanned Aerial Vehicles (UAVs). RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering to apply. The successful applicant will primarily develop specialized UAVs