166 programming-"FEMTO-ST"-"FEMTO-ST" positions at Technical University of Denmark in Denmark
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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technology for people. With elite international research and education programs, we aim to create a better world and tackle global challenges. Founded in 1829 by Hans Christian Ørsted, DTU continues to pursue
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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qualifications include: Experience with traditional Intelligence analysis tools. Good programming skills in Python, or similar. Curiosity and interest in Agent-based Modelling, Simulation, and Computational Social