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research in: - Condensed Matter Theory - Quantum Information & Quantum Computation - Topological Physics & Quantum Geometry - String Theory and its connection to Condensed Matter Our interdisciplinary group
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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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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence
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. Applicants are expected to have expertise in areas of quantum information, quantum materials, quantum computation, AI and other numerical tools for emergent quantum matter, quantum geometry, Majorana modes
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Information 12 months, eventually renewable Hours Per Week 35 Offer Starting Date 7 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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respect to academic credentials. Required qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in statistics, applied mathematics, machine learning, computer
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. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry
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on online, real‑time detection, which imposes strict constraints on the computational efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be
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, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and