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(2025 – 2027), where he/she will undergo graduate training under the Structured Ph.D. in Humanities and Social Sciences program in addition to DECADOCS network training. In this period, he/she will
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expected to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD
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of the most essential processes in soft matter science. You will work here The research is embedded within the Physical Chemistry and Soft Matter chair group. You will be directly supervised by Dr. ir. Uddalok
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, you will investigate temporal changes in subarctic benthic communities, their trophic interactions, and the impact of larval supply. This will involve processing and analysing samples such as
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
PMID33762348 , PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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The Faculty of Spatial Sciences together with the Faculty of Science and Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing