216 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at Nature Careers in Germany
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culture is team-driven, international, and interdisciplinary, with biologists, engineers, physicists, and computer scientists working side by side on ambitious projects. Our pioneering work has been
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doctorate Carrying out measurements on ceramic composite materials using laboratory X-ray sources and synchrotron radiation sources: spatially resolved X-ray refraction, computer tomography, and X-ray/neutron
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Transport. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. Their evaluation forms the basis for the program-oriented
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-Universities (RMU). In the Working group Computational Integrative Biodiversity (CIB) at the Center for Critical Computational Studies(C³S), of the Goethe-University Frankfurt am Main there is a position as
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systems, hiPSC-based disease models, primary patient samples, and PDX models Plan and perform experiments within the framework of the scientific project plan, including epigenetic assays, gene expression
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and medical image analysis. The interdisciplinary and collaborative research environment at the DKFZ also results in excellent opportunities for computational and data scientists with interest in
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-Universität zu Berlin Some prior experience in experimental laboratory work and instrumental analytics, along with careful and safety-conscious working practices Ability to perform computer-based evaluation
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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at the University Hospital Münster and access to state-of-the-art laboratory facilities Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) Flexible working time models, 30 days
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at the Institute for Chemistry and Biology of the Marine Environment (ICBM) at the University of Oldenburg. By taking advantage of the data science and computational expertise at the HIFBM together