112 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"U.S"-"FEMTO-ST" "Technical University of Denmark" PhD positions
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framework to enable iterative improvement and seamless feedback between generative design and predictive modeling. Responsibilities During the PhD program, you are expected to: Research and develop novel
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be conducted through online interviews. We offer DTU is a leading technical university globally
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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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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We invite applicants for two PhD positions in luminescence physics at the Department of Physics (DTU Physics), Technical University of Denmark. The positions will push forward the emerging field
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the experimental team co-supervise BSc and MSc student projects As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your
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general planning of the PhD study 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
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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