1,515 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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faculty at the Max Planck Society and at Oxford University cover all major areas in Computer Science. For more information about the research interests of individual faculty, please visit: http://cis.mpg.de
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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Max Planck Institute for Chemical Physics of Solids • | Dresden, Sachsen | Germany | about 24 hours ago
-academic training such as skills courses. A full description of our PhD training is available on our website: https://imprs-cpqm.mpg.de/105837/PhD-training . A Diploma supplement will be issued Yes
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on average expenditure: Rent, including ancillary costs (in Erlangen, Nuremberg and surrounding areas): 410 EUR Food: 198 EUR Clothing: 46 EUR Travel costs (public transport and/or car): 89 EUR Study materials
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 4 days ago
that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and
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for mobile working Modern equipped offices, social rooms, company health promotion, parent-child room, etc. for a pleasant working environment (details on our social benefits at https://www.lifbi.de/Career
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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Chemistry! We are seeking to apply Interlocked Molecules in Catalysis and Chemosensing. Please see our homepage for details: https://www.uni-due.de/akniemeyer/index.php Who are we looking for? The Henriette