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Posting Description LECTURER AND COMPUTING LEARNING LEAD, Schwarzman College of Computing (SCC) and Department of Electrical Engineering and Computer Science (EECS), will support the delivery and
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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our existing strengths, including Machine Learning, Virtual Reality, and Autonomous Vehicles. We are also particularly interested in candidates working in areas such as statistical inference, data
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
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at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects at the intersection of synthetic biology
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and advanced machine learning. The project will integrate measurements from the SWOT satellite mission with Oxford's Global River Topology (GRIT) hydrography to develop verified, uncertainty-aware
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experience with empirical research and a strong aptitude for quantitative and technical methods. Experience & competencies Experience with Python and machine learning, preferably applied to medical imaging
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both to grow their own research line and to shape how the next generation of (research) engineers learns to build pervasive, sensing-driven systems. The balance is approximately 50/50 between research
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Engineering, Electrical and Computer Engineering, Electromechanical Engineering, Ocean Science and Technology, Biomedical Engineering and Materials Science and Engineering. It offers 14 degree programmes