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(IUSM) is searching for a postdoctoral appointee to join our research team. The Witczak lab has broad interests in the mechanisms regulating skeletal muscle metabolism under physiological, pathological
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4 Sep 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Economics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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3 Sep 2026 Job Information Organisation/Company Poznan University of Technology Research Field Chemistry » Biochemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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independent. About the lab Fátima Gebauer group is in the Genome Biology Programme of the CRG. She leads a team of motivated researchers working on RNA regulation and translational control in human cancer
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, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental mechanisms that control RNA
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
research topics; Good command of English, which is the working language of the department. German is an asset but not required. Our offer We are offering excellent working conditions in a highly
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, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. 3. Experience in reachability analysis, formal verification
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification