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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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-structured teaching programme and competent individual supervision as well as the opportunity to interact with a group of more than 100 other PhD students and post-docs in the same field of interest
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Degree PhD MD/PhD Course location Berlin In cooperation with Einstein Center for Neurosciences Berlin NeuroCure Cluster of Excellence Berlin Institute of Health Max Delbrück Center for Molecular
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 15 hours ago
requirements CV and list of publications (if applicable) Certified copy of your university entrance qualification (Abitur, A-levels or equivalent) Certified copy of your university degree certificate
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degree (or an equivalent degree) and medical students from Germany are not eligible to apply to our PhD programme. We recommend applying to specific MD/PhD programmes instead. Likewise, candidates with a
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approaches for the integration with the digital twin for regenerative agriculture Perform scenario simulations and analyze simulation results Present and publish results at conferences and in peer-reviewed
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Degree Doctor of Philosophy (PhD) / Doctor rerum naturalium (Dr rer nat) Course location Hannover In cooperation with Leibniz University Hannover and Carl-von-Ossietzky-Universität Oldenburg
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Degree Doctor Rerum Politicarum Course location Oestrich-Winkel Teaching language English Languages English We support you in developing your knowledge of foreign languages with the EBS Language
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.10.2025 Job
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670