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to the role (including OpenSpecimen database and Genemapper software) and capable of quickly learning and utilizing additional computer programs as needed
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 21 days ago
Pathology and Spatial Biology Group) at the DZNE in Bonn is seeking a highly motivated Postdoctoral Researcher to join our dynamic and growing team. Our research focuses on deciphering the pathological
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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Python, MATLAB, or C++. Experience with machine learning techniques, CAD, computational modeling, 3D printing, motion capture, and/or material testing. Proficiency in programming languages commonly used in
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, working at the interface between plankton ecology and computer sciences. The postdoc will work in strong connection with the GreenOwl team of Inria (National Institute for Research in Digital Science and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 27 days ago
. With more than 40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Research Group Computational Biomolecular Dynamics (Prof. Dr
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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Offer Starting Date 1 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 Research Infrastructure? No Offer
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Department Research Support | Guan Academic Group | Applied Biology Program | Faculty of Land and Food Systems Compensation Range $4,333.86 - $5,155.61 CAD Monthly Posting End Date August 13, 2025 Note
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods