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). Team player and great collaborator Strong interest in interdisciplinary work at the interface between dementia/ neurodegeneration, modeling, and machine learningPrior experience in deep learning, or/and
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under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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background in grid-connected power converters. · Deep knowledge of advanced power conversion topologies, particularly MMC and SST. · Proficient in simulation tools for power converters, such as
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, some of our chemical probes have synergistic anti-tumor efficacy in combination with immunotherapy. The positions will provide deep exposure and training in cancer functional genomics, chromatin biology
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, cryoET, and X-ray crystallography, you should be an expert in at least one of those techniques and keen to learn the others. You also should have a deep interest in molecular mechanisms underlying
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role in the global carbon cycle by transferring carbon from the surface ocean to the deep sea through the formation, sinking, and remineralization of organic particles. Despite its importance, our
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Learning (DL) tools tailored specifically to the particularities of TCR interactions. As part of the Deep Immune Receptor Modeling (DIRM) grant from the NNF Data Science Collaborative Research Programme
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bodies down to the bottom of the deep sea. The Aquatic Life Foundation Project (AqQua ) will, for the first time, combine billions of images acquired with a variety of devices across the globe for large
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Postdoc (f/m/d) in Machine Learning for Quantum Computing and Simulation of Quantum Matter / Comp...
) methods to study complex quantum systems relevant to the green energy transition. The focus is developing novel Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms