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. for electrification of the vehicle industry – sustainability in materials and processes is of the highest importance. Regardless of the battery chemistry understudy, a circular battery value chain relies on efficient
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. for electrification of the vehicle industry – sustainability in materials and processes is of the highest importance. Regardless of the battery chemistry understudy, a circular battery value chain relies on efficient
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processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. Project description: The project concerns electrochemical modelling of Li
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by protein trapping experiments. Model and simulate nanopore-FET devices. Process and analyse the sensing signals from the devices; model the protein dynamics. The work duties can also include teaching
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one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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and electrolytes during operation of the battery cells. Project management duties as well as teaching may also be included, but up to no more than 20% of working hours. Requirements: PhD degree in
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The postdoctoral researcher will work with computer-based analytical methods and large databases to develop theory and methodology for utilising aggregated data from archaeology, genetics, and linguistics, thereby
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to floating-point arithmetic. Possible research directions include developing new automated program verification techniques specifically for such programs, as well as specification inference and fault