177 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Switzerland
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Understanding of assay development and adaptation for automated environments Ability to communicate effectively with researchers from different scientific backgrounds Previous experience as a laboratory
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Strong command of R Didactic competence and enthusiasm for teaching Willingness to collaborate with colleagues, and to contribute to the academic activities and further development of the Political Science
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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year, with a prospect of becoming indefinite) on the development of the data-analysis suite and pipeline infrastructure for the upcoming gravitational-wave space observatory LISA. In 2015, the LIGO–Virgo
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on the development and application of advanced electronic structure calculations to explore the phase diagram and relevant properties of layered Ruddlesden-Popper-type nickelates. Project background Layered nickelates
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation
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the Department of Biosystems Science and Engineering of the ETH Zurich and by the Roche Pharma Research and Early Development (pRED). The programme focuses on development of new tools and methods to resolve
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and