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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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, quantify nonlinear interactions, and advance scientific understanding of coastal ecosystem resilience. Curate and develop reproducible AI-ready datasets, computational workflows, and research software
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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About us The Department of Physics at King’s College London is part of the Faculty of Natural, Mathematical & Engineering Sciences. This role sits within a collaborative quantum science project
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. The implementation of a Fourier-based tensor network solver is already in the works within our team (based on existent tensor network libraries in Julia) and is expected to be functional by the start of the post
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral Position in Ultrafast Laser Spectroscopy of Quantum Materials The FERROIC Lab (Laboratory for Functional Ferroic
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the