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- NTNU Norwegian University of Science and Technology
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the job For a position as a PhD Candidate, the goal is a completed doctoral education
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motivation and background for applying for the specific PhD project (max. one page) Full CV Diploma and transcripts of records (BSc and MSc including grade transcripts) Other information to consider
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programmes on all levels, including PhD. The faculty has about 6000 students and nearly 600 members of staff. Department of Nursing and Health Promotion is located at all three campus: Kjeller, Pilestredet and
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artistic research national guidelines for appointment as PhD, post doctor and research assistant Preferred selection criteria Experience with large C++ code bases. Experience with MLIR and/or LLVM frameworks
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31st July 2024 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD Candidate PhD Candidate in Hybrid Machine Learning Apply for this job See
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International Baccalaureate (IB) diploma Applicants with a completed master's degrees taught in English in a EU/EEA country Applicants who are exempt based on NOKUT's GSU list We offer a PhD education in a large
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the utilization of experiment data. The two PhD positions will be complementary but have different focus: PhD position 1: This position will focus on micromechanics-based computational modelling of the stochastic
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. Required
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previous studies and be able to document proficiency in both written and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme
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the utilization of experiment data. The two PhD positions will be complementary but have different focus: PhD position 1: This position will focus on micromechanics-based computational modelling of the stochastic