339 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Switzerland
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Friedrich Miescher Institute for Biomedical Research
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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, operation and data quality control. Interpretation of earthquake catalogues. Participation in manual review or operations during active experiments. Profile PhD in seismology or a related field. Experience
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About us NCCRs (National Centres of Competence in research) are national programmes funded by the Swiss National Science Foundation for up to 12 years, designed to achieve both scientific and
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at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for PhD and postdoctoral positions in pioneering projects developing synthetic
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at the population scale» is a 4-years project recently funded by the Swiss National Science Foundation (SNSF). OPISCOW aims at investigating the de novo mutation rate of structural variants in a large cattle pedigree
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description NOMIS Foundation ETH Postdoctoral Fellowship The NOMIS
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science. Please see our website for more information on activities in the research group. Funding is provided for four years of PhD studies, and starts at 52500 CHF / year (before taxes), as is standard in
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate