285 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at DAAD
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at the Goethe University Frankfurt. MBN Research Center ( https
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at Goethe University Frankfurt. MBN Research Center ( https
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en