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to multi-task and work cooperatively with others. Writing and communication skills. Preferred Qualifications: Knowledge of computer models on watershed assessment and/or flood management. Knowledge
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling
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Research Framework Programme? Not funded by a EU programme Reference Number 107PED/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Bucharest
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 7 hours ago
Starting Date 27 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BIODIVNBS/0010/2023 Is the Job related to staff position within a
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(e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025
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hampered by uncertainties about viable business models and reward structures. Your job This postdoctoral position is part of ReGeNL , a large national inter- and transdisciplinary research programme aimed
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/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in-person position at Santa Clara University
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/supporting applications development and experiment realizations on DIII-D and international tokamaks; support the creation and validation of machine learning models, particularly in areas like plasma
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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects