270 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions in Germany
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Programming skills would be beneficial Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work
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Job Offer from March 25, 2026 Open Postdoc position is available at the Max Planck Institute for Chemistry (MPIC), co-supervised by Prof. Yafang Cheng (Director at MPIC) and Dr. Wenjun Meng (Project
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40 Offer Starting Date 1 Nov 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 Research Infrastructure? No
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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to: Dr. Clarimma Sessa Head of the insiTUMlab – Analytical Infrastructure for Non-Destructive In-Situ Studies of Cultural Heritage, Chair of Conservation-Restoration, Art Technology and Conservation
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Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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scientists within Germany and worldwide (https://www.physik.fu-berlin.de/forschung/dahlem-center-for-complexquantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid
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biomechanical data during mammalian gastrulation. This position is part of an ambitious interdisciplinary project in collaboration with Professor Shankar Srinivas (University of Oxford) and will be based in Dr
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(PD Dr. Keno Bressem) Your Responsibilities • Development and implementation of generative AI models (in particular diffusion models and variational approaches) for creating explainable patient