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collaborative research environment with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental
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to demonstrate the following qualifications: Computational social science/machine-learning techniques Large-scale data collection Large-scale text analysis Large-scale visual analysis Professional interest in and
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properties. Ability to work independently, to plan and carry out complicated tasks and to be part of a large, dynamical group Good communication skills in English, both written and spoken We offer DTU is a
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shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities
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We are looking for two highly motivated and dynamic computational postdocs for a 3-year position, to join the group of Prof. Ana Cvejic from the 15th of June 2025 or soon thereafter. Information
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conversion and grid integration. The aim is at the power system level to establish a chemistry-aware digital twin (DT) which is applying data driven models (AI-based) for Power-2-X systems. In the case
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theory Competency in processing and analyzing time-resolved data and handling large datasets. Synthesis and characterization of polyoxometalates Electrochemical catalysis and characterization techniques
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theory Competency in processing and analyzing time-resolved data and handling large datasets. Synthesis and characterization of polyoxometalates Electrochemical catalysis and characterization techniques
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You will join the Grand Solution project"DRONES: Drone-Obtained Electromagnetic Signatures" to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop