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Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Your Job: Responsible scientist for the operation of the X-ray photoelectron spectroscopy (XPS) device Upgrade and development of the device for future projects Research on fusion relevant materials
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-program.html For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response) For
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advanced computational techniques. Application of strong analytical and critical thinking skills and problem-solving efforts to formulate high-quality research ideas and directions in collaboration with
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FUNDS FOR MODERN ECONOMY PROGRAMME 2021–2027 (FENG) “Development of an innovative, high-throughput platform for functional screening of human pancreatic endocrine cells" Project contract number FENG.02.03
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic