132 data-"https:"-"https:"-"https:"-"https:"-"Anglia-Ruskin-University" PhD positions in Denmark
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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
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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degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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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, please see DTU's rules for the PhD education
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(SNSPD). Additional responsibilities include developing efficient coupling of free-space optics to optical fibers, conducting extended data-taking runs with TES and SNSPD systems, and performing data
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factors allow it to flourish over long careers. Using unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography
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and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according