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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and
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collaborative team in an outstanding scientific environment. Qualifications The successful applicant (m/f/d) will hold a Ph.D. in computer science, machine learning, mathematics, bioinformatics or related fields
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interdisciplinary research environment with chemists, biologists, and physicists working closely together. Forschungszentrum Jülich is situated between Cologne and Aachen in Germany and is one of the largest research
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, especially related to weather and climate Self-motivated personality, curiosity of working in a multi-disciplinary team environment on scientifically challenging problems Very good command of written and
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of various selected soil functions such as water infiltration or compaction in a digital twin of diversified agricultural landscapes within the virtual environment of the Farming Simulator 2022 game
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
research environment to attend to the most pressing questions facing the marine environment: for nature and people combined, The HIPP offers postdoctoral scientists the opportunity to develop their own
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
, the Helmholtz Institute for Functional Marine Biodiversity (HIFMB) has created an integrative postdoc pool, HIPP. This aims to stimulate a holistic, innovative and interdisciplinary research environment to attend
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
interdisciplinary research environment to attend to the most pressing questions facing the marine environment: for nature and people combined, The HIPP offers postdoctoral scientists the opportunity to develop
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the host environment. Our work has already led to significant insights into the microbiome of C. elegans, utilizing life history frameworks for understanding competitive, stress-tolerating, and ruderal
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models and methods (CNNs, LSTMs, Attention Networks, GNNs) We offer: An optimal research and supervision environment for doctoral studies and academic development, excellent networking opportunities