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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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student in the area of ?parameterizing ocean mixing? Reference code: 50142721_2 ? 2025/KD 4 Commencement date: as soon as possible Work location: Geesthacht (near Hamburg) Application deadline: July 10th
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 19-25 Job Offer from July 01, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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Job Code: 2025_21 Job Offer from June 17, 2025 The Max Planck Institute of Biochemistry (MPIB) in Martinsried is one of the world's leading research institutions in the fields of biochemistry, cell
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cutting-edge research project within a highly interdisciplinary and international team and a supportive research environment Access to state-of-the-art imaging and analytical facilities Opportunities
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persons (according to the Ninth Book of the German Social Code) will be given preference if they have the same aptitude, skills and professional qualifications. If you are interested, please send your
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an emphasis on in vivo assays, animal models and state-of-the-art imaging tools Soft skills seminars on communication, presentation and other topics equally relevant for achieving success in both a scientific
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning