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mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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University): Quantum Computation & Quantum Algorithms https://youngseok-kim1.github.io/ykim.github.io/ 3. RESEARCH AREAS [Condensed Matter Physics] - Quantum topology and geometry - Topological materials
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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scientist to carry out a research programme focused on developing novel ultrafast light-source technologies in gas-filled hollow-core anti-resonant fibres. The role will involve working in close collaboration
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing