183 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at ETH Zurich
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and computational analysis. The successful candidate will be co-mentored by Dr. Georg Aichinger, who leads the group in predictive toxicokinetics, and Prof. Shana Sturla, the head of laboratory. Profile
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. Within the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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at the interface of computational modeling, biomedical data analysis, and clinical neuroscience. Job description Support clinical trial planning, including modeling of historical control groups and the development
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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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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. The available PhD position is connected to a 4-year research project, funded by the Swiss National Science Foundation, and it is led by Dr Valentino Vigneri, Senior Researcher and Lecturer of the group of Steel
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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considered. Further information about Veltst can be found on our website . Questions regarding the position should be directed to Dr. Alexandre Anthis, email aanthis@ethz.ch (no applications). We would like
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job