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Field
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(AI) to analyze large imaging and molecular data in a robust and unbiased way. Worldwide media, including New York Times, Wall Street Journal, and Süddeutsche Zeitung, have highlighted our research. You
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 6 days ago
which are used at large telescopes (VLT, LBT, ELT) and aboard satellites (for example XMM-Newton, Herschel, SRG/eROSITA, EUCLID, Einstein Probe, NewAthena). Within the framework of ESA’s future large
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significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
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Orchestration and documentation of Deep Learning experiments Processing and visualization of large amounts of data Review of relevant literature and data Testing software and frameworks What you bring
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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on the bioeconomy and the climate, and closely collaborates with Forschungszentrum Jülich institutes in the research fields “energy and climate” and “information”. To strengthen our research activities in the field
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, diagnostics and therapies and, conversely, using clinical observations to develop new research ideas. The aim is to deliver relevant medical benefits to patients and the population at large. Since 2021 the BIH
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considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers
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(partly) A large research campus in the countryside, which offers the best opportunities to network with colleagues and to do sports outside of work Targeted services for international employees, e.g
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires