62 density-functional-theory-molecular-dynamics PhD positions at Technical University of Denmark in Denmark
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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. Responsibilities The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC
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understanding different kinds of extreme meteorological events and how these may impact wind energy based power and energy systems. As well being involved in research projects you will take part in highly
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Job Description This project is part of a new collaboration with the University of Queensland (Australia) and the pharmaceutical company, Astra Zeneca (Gothenburg, Sweden). All three groups (DTU, UQ
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive
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focused on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism
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Job Description Do you want to be part of a section that aims to reduce the time required for and increase the value of physical testing of wind turbine structural components by using high
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your gateway. As part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies)—a national collaboration involving 23 leading companies, five Danish
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September 1, 2025, or as soon as possible thereafter. The f -elements of the periodic table play an essential role in numerous technologies, including catalysts, magnets, and photonic devices. Their distinct
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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data