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, imaging and quantifying their binding and figuring out how these ligands affect signalling. The project is highly multi-disciplinary and involves solid phase peptide synthesis, cell biology. Work and
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mechanisms enable adaptation and pathogenesis of malaria parasites. Our team takes pride in developing and integrating innovative (single-cell) multi-omics technologies to understand the biology of
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position within a Research Infrastructure? No Offer Description The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate on Multi-Objective
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) are looking for a: PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated
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have not yet reached this level, we will gladly support you through our language center, Wageningen in'to Language. You can see that there are plenty of challenges ahead of you. If you do not yet have
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Introduction Are you an entrepreneur at heart and passionate about education? Do you thrive in an agile, start-up environment? Join our innovative team within an established institution and make an impact in
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the understanding of what works, for whom, and under which circumstances in the context of lifestyle behavior change. Behavior change is complex because of the many multi-level factors at play and often requires
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Belonging to the best research universities of Europe and joining forces with