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Field
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Müncheberg. Scientist (f/m/d) Your tasks: Design and implement a modular hybrid modelling framework that integrates Process-Based Models (PBMs) (e.g., Lintul5, APSIM) with Machine Learning (ML) approaches
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 6 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in
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multidisciplinary team of scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers Self-motivated personality with very good command of written/spoken English and
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(e.g. the development program “Fraunhofer TALENTA” for female scientists) Family-friendly conditions (flexible working hours, home-office regulations in line with the requirements of the position, etc
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scientists in an interdisciplinary and international environment supported by state-of-the-art infrastructure. Together, we aim to advance science and contribute to a healthier, cleaner, and fairer society
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and written) as well as computer skills OUR INSTITUTE… ranks among the largest and most modern institutions in the field of low-temperature plasmas worldwide. In an international working environment, we
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development. Great ability to work in a multidisciplinary team of scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers. Self-motivated personality with very
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scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers Self-motivated personality with very good command of written/spoken English and ideally a very good
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter