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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric machine drives or power electronics is a plus. We value candidates who
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent
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and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience