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and Circularity to strengthen its activities in sustainable photovoltaic technologies. The successful candidate will work at the interface between scientific research, technology development, project
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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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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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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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, 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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equitable energy systems. This PostDoc position is offered in collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink ). IMOS develops advanced
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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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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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to develop, optimize and apply advanced mass spectrometry approaches for the structural and molecular characterization of ARDCs, and to analyze and interpret the resulting data. - Develop and optimize mass
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, such as narrowband filters in GHz electronics. Unfortunately, for quantum applications, the dissipation rate of magnons limits the performance of such hybrid systems. This project therefore aims to develop