1,564 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Germany
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civil and military operations“ and „operational analysis and evaluation“. The combination of these research focus areas provides an ideal platform for interdisciplinary research in simulation and
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documents by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies) preferably via the TUD SecureMail Portal https://securemail.tu
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the application and theory of electromagnetic geophysical methods, especially magnetotellurics Sound computer skills in Windows and Linux Demonstrable, sound programming knowledge and experience in at least one
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of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket as
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Documents to submit: Supervision agreement Report of intent to pursue doctoral studies Copies of university transcripts Curriculum vitae in tabular form Please find all details on this site: https://hpi.de/en
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, please contact Prof. Dr. Stefan Jakobs (E-Mail: sjakobs@gwdg.de ) Information about the Fraunhofer Institute can be found on the internet at: https://www.itmp.fraunhofer.de/de/institut/standorte
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coupled hydrological and groundwater modelling, combined with machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics
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multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its institutes are located on a single campus close to the Mainz city center
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Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome applications from qualified people regardless