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conference participation and opportunities to build an internationally recognized research profile. Eligibility criteria You hold a PhD degree in Electrical Engineering or a closely related field and have an
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harvesting and cooling. Degree: PhD in one of the following fields (or similar): Materials Science and Engineering, Chemical Engineering, Electrical Engineering, Nanoscience and Nanoengineering, or Applied
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activities Build strong working relationships with PIs, researchers, technicians, and external collaborators Implement strategies to ensure timely completion Generate scientific proposals to resolve key
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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that the right problem has been solved correctly. To achieve this ambitious objective, we will build on recent breakthroughs in proof logging, where solvers do not just output an answer, but also a