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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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community! The position This position will develop and maintain data-processing pipelines for large-scale neuronal and behavioral datasets, including multi-day high-frequency recordings, fluorescence
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following areas is required: bioinformatics analysis of high dimensional data (R/Python), metabolomics, tissue/organoid culture work, (anaerobic) bacterial culture. Highly beneficial experience at all levels
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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on bacterial biofilms, to start immediately or as per arrangement. The project The research group of Knut Drescher (https://drescherlab.org ) focuses on understanding the development and emergent
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on bacterial biofilms, to start immediately or as per arrangement. The project The research group of Knut Drescher (https://drescherlab.org ) focuses on understanding the development and emergent
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of the Department of Biology at the University of Bern and is involved in teaching on the BSc in Biology and in four MSc Programs (Ecology and Evo-lution, Molecular Life Sciences, Climate Sciences, Bioinformatics
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targets an order-of-magnitude improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. chevron_right Working, teaching and
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, for a Postdoc in climate impacts on hydrological extreme events 80-100% (f/m/d) You will develop data-driven and/or process-based models to assess climate impacts on extreme events, their drivers, and/or
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data processing? We invite you to join our team and help shape the future of Earth observation in forest management. Project background You will join FORM (the Professorship of Forest Resources