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patterns, and (4) environmental impact assessments. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg
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) Interest and ideally experience in microbiome omics (16S/shotgun; analysis or interface expertise), ideally knowledge in bioinformatic pipelines Solid experimental design and data analysis skills (R/Python
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you: Doctoral degree in experimental particle physics (or proof that a phd will be obtained before the end of 2026) Experience in both data analysis and particle physics instrumentation. Experience in
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stormflow (SSF). A novel experimental design is used to identify hillslope SSF and to track its physical and chemical signatures during passage through the riparian zone and along the stream channel network
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 2 months ago
biology and organismal biology, including animal models is essential. Previous hands-on experience in molecular biology and biochemistry including protein, RNA and DNA isolation from tissues and CRISPR-Cas9
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for Quantum Information (PGI-11) conducts theoretical research on many aspects of quantum computing and experimental research on semiconductor qubits. The institute has two parts, located at the sites
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/Qualifications Strong research track record in AI and scientific applications. Excellent knowledge of Machine Learning and Deep Learning. Strong Python programming skills. Experience with PyTorch, TensorFlow
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
) Requirements PhD in physics, biomedical engineering, neuroscience, or related field Strong experience in MRI acquisition and neuroimaging methods Solid programming skills (Python, MATLAB, or similar) Experience
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are involved in a large number of third-party projects and a large international network. This project is offered as part of a Hans Fischer Senior fellowship through the TUM Institute for Advanced Studies (https
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, Geosciences, Physics or Mathematics Knowledge of hydrological and meteorological processes and flood risk concepts Experience in statistics, particularly extreme value statistics, and stochastic simulation