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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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is of utmost importance that they be completely reliable. One of the central objectives of our research group is to develop methodologies and tools with which we can guarantee with 100% certainty
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the forefront of emerging questions around stability, interoperability and control of large-scale power electronic infrastructures. Outstanding candidates will find an environment that combines scientific freedom
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Management Skills expected: Independent design, plan and coordinate research in accordance with the projects objectives Serve as the primary liaison between LMVGT, LVVC and consortium partners and the other