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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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from other peers through a dedicated mentorship program. Technical queries should be directed to Robert Lasarzik (robert.lasarzik@wias-berlin.de ). The working hours are 39 hours per week and the
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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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Programme of the German Research Society (DFG). We closely collaborate with research groups at the department, the neighboring Fritz Haber Institute, and partners around the world. For more information see
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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with e.g. powder diffraction Experience with wet chemical synthesis, e.g. nanoparticles A distinct advantage would be: Experience with high-level programming languages, e.g. Python Knowledge in magnetism
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 3 months ago
of the leading centres for fusion research and is engaged in developing the physical foundations for a future fusion power plant. The institute is affiliated to the European Fusion Programme. The Max-Planck
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming