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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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. Job description come with an open mind & stay at least 3 years be comfortable with interdisciplinary "blue sky" research seek impact rather than theorems be excited about learning something new (such as
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values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and
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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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capability to identify and quickly learn the most suitable tools for the research on the go. Interested in topics related to the research, such as computational design, performative design, circular economy in
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Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore. A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning Positive
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here You are able and willing to learn more about digital state-of-the-art methods quickly, preferably based on some previous experience, e.g., in using CAD software or a little programming Workplace