229 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs in Germany
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adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models
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models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your existing
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addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits We offer you an exciting and varied role in an international and interdisciplinary
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
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. Fluency in both written and spoken English is required. The researcher should show eagerness to learn new skills and apply established ones. Our offer We are offering excellent working conditions in a
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology
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Astrophysics (IAAT), University of Tübingen, D-72076 Tübingen, Germany https://www.tat.physik.uni-tuebingen.de/~kokkotas E-Mail: kostas.kokkotasspam prevention@uni-tuebingen.de Further information