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29 Jul 2026 Job Information Organisation/Company Karl Landsteiner University of Health Sciences Department Human Resources Management Research Field Neurosciences » Other Medical sciences » Cancer
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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to dissemination activities. Who are we looking for? Experience in macromolecular crystallography (crystallisation, X-ray data collection and structure determination) is essential. Experience in biochemical
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scientists to advance geoenergy research across the N8 Research Partnership. Number of awards: 1 Start date: 1st October 2026 Award duration: 3.5 years Sponsor: Industry - ENI Name of supervisor/s: Sanem
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work with a wide range of subsurface datasets, including well logs, seismic interpretation and published geological information, to map saline aquifer distributions from the Palaeozoic to the Mesozoic
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& evolution Proteostasis & phase separation Within these projects, you will have the chance to work closely with top scientists, learn valuable skills and get training in the latest techniques. See our research
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. Demonstrable experience with data processing, signal analysis and programming (e.g. Python/Matlab). Ability to work independently as well as in a multi-disciplinary team. Fluent in English (oral and written
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the expertise of sociologists, psychologists, educational and political scientists, economists, demographers, and statisticians to provide state-of-the-art, multi- and interdisciplinary supervision of doctoral
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approaches) You will have the opportunity to work with world class software engineers, researchers, and data scientists working on national and global scale problems. Knowledge, Skills and Abilities
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approaches) You will have the opportunity to work with world class software engineers, researchers, and data scientists working on national and global scale problems. Knowledge, Skills and Abilities