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Field
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coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking for a driven
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Dynamics of Plant Cell Compartments " The Research Training Group 2498 "Communication and Dynamics of Plant Cell Compartments" is a structured PhD program funded by the “Deutsche Forschungsgemeinschaft” (DFG
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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will work on a selected project of the Research Training Group and participate in the qualification program of the RTG. One PhD position in each of the EpiSignal projects (TVL-E13; 65%) for four years
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papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or preferable subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT
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Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content International Max Planck Research School – Biological Intelligence (IMPRS-BI) offers first-rate
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supports all early-stage researchers across Heidelberg University, either pursuing an individual PhD or a structured PhD in the context of a doctoral programme. It is committed to excellence in training and
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computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize