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and qualifications. Possible topics are: The theory of ultrafast pump-probe experiments (e.g., time-resolved X-ray scattering and spectroscopy), simulations and data processing of actual ultrafast
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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
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with: Studying the available literature in the field and formulating own scientific hypotheses and questions Conducting scientific experiments and analysing data Writing peer reviewed scientific
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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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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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subject to 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
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students and the SDU information on how to apply before applying. Please include the following documents in English as part of your application: Motivated application (cover letter). Curriculum Vitae
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information can be found here: https://www.cbs.dk/en/research/phd-programmes/admission In addition to the project description, copies of the following must be included: cover letter diploma for bachelor's and
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the RADAR project, funded by Independent
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high