19 machine-learning-engineer PhD positions at Chalmers University of Technology in Sweden
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2
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progression, machine learning. You will collaborate locally and internationally with groups in both theory and experiment. You will disseminate your findings by publishing in scientific journals and presenting
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/or reactor physics Documented knowledge/experience in machine learning What you will do As a PhD student, you will have the opportunity to shape your research project while receiving guidance and
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iterative machine learning models with microbiological wet lab work. The second PhD position is planned to be wholly wet lab-based with a focus on microbiology and membrane biophysics. The project involves AI
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-SEK, 12-year Wallenberg Centre for Quantum Technology (WACQT), aiming to build a superconducting quantum computer. As part of this project, you will explore quantum computation with microwave circuits
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methodologies, ranging from material characterization, via machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is part of the Chalmers Area of
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interaction combined with extensive field measurements. A digital twin of the detector will be created to train a machine learning model for predicting dynamic wheel loads. The overarching aim is to enhance
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28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Physics » Mathematical physics Physics » Quantum mechanics