55 programming-"the"-"DAAD"-"U"-"Prof.-Dr"-"PDI-Service" PhD positions at Technical University of Denmark in Denmark
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and interest in theoretical and computational chemistry/molecular physics Excellent analytic, mathematical, and programming skills Experience with electronic structure calculations incl. excited
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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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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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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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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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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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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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, visit: www.algoritmer.org . The candidate will conduct teaching as part of the ph.d. programme. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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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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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