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international partners. Become part of our team PhD student (f/m/d) Work schedule: 65 % of the regular weekly working hours (currently 25 hours and 37 minutes) Duration: at the earliest possible date
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implemented sensors locally intelligent. Together with the existing diverse activities in the field of sensor platform development, the institute is currently strengthening its expertise in the areas
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candidate to investigate the interactions between wind, waves, and sea-surface monolayers. Understanding energy and scalar fluxes across the air-sea interface is crucial for a number of environmental
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June, 2025 Work location: Geesthacht (near Hamburg) Application deadline: April 21st, 2025 We are looking for a highly motivated PhD candidate to investigate the interactions between wind, waves, and sea
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that have made their way into everyday technologies such as smartphone and television screens, miniaturised devices for biomedical research, and to other specialised applications. However, our current
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the comprehensive field of Earth System Modelling, with emphasis on the interactions between the natural and the human systems. The scientific subject is the development, application and evaluation of a hierarchy of
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therapies such as anti-CD20 antibodies, which effectively reduce the number and the severity of new relapses as well as MRI activity. Currently, our research group invites applications for a PhD student
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implemented sensors locally intelligent. Together with the existing diverse activities in the field of sensor platform development, the institute is currently strengthening its expertise in the areas
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/en/imprs/about . Application deadline We accept applications twice a year. For current deadlines, please refer to https://www.bgc-jena.mpg.de/en/imprs/career-application . Tuition fees per semester in
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is