39 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"P" PhD positions at Technical University of Denmark
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Job Description The Quantum and Nanophotonics section at DTU Electro is seeking an excellent and highly motivated PhD student to be a part of a program on ‘Symmetry-guided discovery of topological
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25/63 on Integration of Variable Energy. A detailed project plan will be developed with the supervisors within the first two months You must have a strong foundation in control theory, including
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of programming (in particular Python) is preferred. Furthermore, the candidate should be highly motivated and willing to work in a team. Good communication skills in both spoken and written English, are a
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for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programs at DTU. For information about our enrolment requirements and the general planning
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, particularly joint action studies strong programming skills in Python Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment with be made by Professor Stefan Kragh Nielsen and an internal evaluation committee. We
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern