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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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applicant with a strong background in the (electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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. The field has emerged in parallel with rapid technological improvements in computing, the spread of Internet and mobile technologies, and the increased digitalization of data and of people’s lives. Our group
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Job related to staff position within a Research Infrastructure? No Offer Description Our Bioinformatics and Computational Pathology group at the Institute of Pathology, Erlangen, develops computational
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
neuropathological or behavioral analyses Proficiency in image analysis using platforms such as QuPath, ImageJ/Fiji or comparable tools Experience with bioinformatics approaches Familiarity with advanced image
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, biomedical sciences, natural sciences, or a related field Strong background in microbiology and infection biology, including experience with BSL2 pathogens and/or phages Experience in bioinformatics is an