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. The successful candidate will pioneer new algorithms for graph-structured data, revisit classical graph problems through the lens of modern machine learning, and help define the next generation of generative
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collaboration - and Ph.D./doctoral degree (completed or thesis already submitted) in physics What would be desirable: - experience in design, implementation and testing of FPGA and SDR (software defined
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at the postdoctoral level. In addition, the candidate may join the LEAD Graduate School & Research Network (www.lead.uni-tuebingen.de ) to develop cross-faculty collaborations with researchers in the field of education
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excellence with innovative support for young talents. Their international networks, interdisciplinary research collaborations, and progressive teaching concepts shape Berlin as a center of science. The
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Deadline 28 Aug 2026 - 08:41 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 31 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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with over 36,000 students, it combines research excellence with innovative support for young talents. Its international networks, interdisciplinary research collaborations, and progressive teaching
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an increasingly important role in this endeavor. The institute is part of a strong network of research institutions in the southwest of Munich and provides outstanding research opportunities for its scientists
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in R, Stata, or other statistical software package. Good communication skills in English. This is a two-year position with strong possibility of renewal. We also offer attractive opportunities
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related to staff position within a Research Infrastructure? No Offer Description In the context of the European Horizon funded Marie Skłodowska-Curie Actions - doctoral network HubMOL - Hub Molecules
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position is limited to 3 years and is starting no later than February 1, 2027. The position is part of the Max Planck Artificial Intelligence Network . Under the supervision of Prof. Iyad Rahwan, your