58 programming-languages-"INSAIT---The-Institute-for-Computer-Science" PhD positions at Technical University of Denmark in Denmark
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://www.kemi.dtu.dk/english/research/physical-chemistry ), supervised by Professor Klaus Braagaard Møller (https://www.kemi.dtu.dk/english/research/physical-chemistry/klaus-braagaard-moeller ). Through co-supervision
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communication skills in written and spoken English are required. The groups are ambitious and strive to publish in the leading international journals in the field. Approval and Enrolment The scholarship
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, strive toward scientific excellence, be highly motivated, ambitious, and hard-working. Good communication skills in written and spoken English are required. The groups are ambitious and strive to publish
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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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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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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Kristoffer Almdal and Søren Kramer. We offer DTU is a leading technical university
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Stefano Donati. Key selection criteria: Professional qualifications
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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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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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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