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, computer networking, and/or cyber security. Very good command of English. The minimum requirement of a TOEFL score of 100 or IELTS of 7.0 with scores of at least 6.5 for each section (writing, reading
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02138, United States of America [map ] Subject Areas: Physics / Quantum Condensed Matter Theory , Computational physics Appl Deadline: 2025/12/07 11:59PM (posted 2025/11/12) Position Description: Apply
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number AJ/30/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network
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and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in
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to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 16 days ago
Job Offer from November 03, 2025 The "Computational Relativistic Astrophysics" division at the Max Planck Institute for Gravitational Physics (the Albert Einstein Institute) in Potsdam led by Masaru
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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for life sciences. • Experience with parallel computing. • Familiarity with scientific machine learning approaches (e.g., physics-informed neural networks, neural ODEs, operator learning) and their