290 computational-physics "https:" "https:" "https:" "UCL" "UCL" positions at DAAD in Germany
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on the selection process, frequently asked questions, etc please see https://www.mhh.de/hbrs
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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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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Dresden explores and develops novel quantum materials with tailored properties. Around 300 researchers from over 30 countries work at the interface of physics, chemistry, and materials science to lay
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PhD Working Language German English Required Degree Master Areas of study Chemistry, Theoretical Chemistry, Nanomaterials, Physics, Theoretical Physics, Artificial Intelligence, Computer
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intrinsic noise. These skills will be gained in part through scientific research that applies techniques from statistical and condensed matter physics to understand how phenomena in biological systems – key
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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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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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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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of the whole institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM