307 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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Your Profile: Very good university degree (Master) in the fields of chemical engineering, process engineering, chemistry, material science or a comparable discipline with PhD Broad expertise and the
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 28.10.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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) Participation in international conferences (including presenting your research results) Preparation of scientific publications and project reports Supervision of PhD students and other students Support in
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Germany Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 23 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Max Planck Society (Max-Planck-Gesellschaft zur Förderung der
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Status Full-time Hours Per Week 40 Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
for one year but can be extended up to three years. Requirements A PhD degree in Chemistry, Physics or Physical Chemistry, preferably with a specialization in electrochemistry, thermal catalysis or surface
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling
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schemes a secure job flexible working hours and childcare support the possibility of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use