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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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in electric vehicle applications. Scientifically, the following parts will be included in the research: a) Fabrication and optimization of large-scale hBN films of high quality with high in-plane
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ongoing research projects Supporting the supervision of PhD students and postdocs Contributing to project management and proposal writing Research environment You will be part of the Communication Systems
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-neutral fuels, there is a possibility to achieve fossil free shipping. Hard wing sails are a common wind propulsor, but optimizing their performance requires advanced sheeting strategies to prevent stall, a
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will consist in the porting and optimization of parallel and heterogeneous programming models for the upcoming multiprocessor systems developed in the DARE project . The focus of DARE are long vector
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, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills are meritorious. The candidate must have the PhD degree in hand before enrollment, but it is not required
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materials and on many different quality aspects of food. Main responsibilities To conduct experimental research focused on developing biotechnological engineering tools for hybrid foods and optimizing
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group leverages computational models to address a variety of questions related to metabolism and its functions. Our work ranges from developing and optimizing microbial cell factories for sustainable