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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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to a dynamic, outward-facing programme team. Essential criteria 1. PhD in computer science, artificial intelligence or related field 2. Ability to teach at FHEQ level 7 (Master’s level) across
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and computational physics High-energy physics/astrophysics/cosmology Statistical mechanics/complex systems/non-linear physics Machine learning/first-principles calculations/large-scale simulations
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11.12.2025 Application deadline: 15.02.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Machine Learning in Physics at the Department of Physics (m/f
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primarily online, with minimal on-campus sessions that promote hands-on learning, collaboration, and professional development. POSITION SUMMARY The Doctoral Capstone Coordinator (DCC), Department Faculty, in
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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Fintech Thrust, please visit https://hkust-gz.edu.cn/academics/four-hubs/society-hub/financial-technology . We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in
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SCIENCES Work Location Lexington, KY Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about
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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited