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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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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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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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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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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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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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21 Nov 2025 Job Information Organisation/Company Copenhagen Business School Department Department of Accounting Research Field Economics Researcher Profile First Stage Researcher (R1) Positions PhD
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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
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
supercontinuum sources that outcompete synchrotrons from the deep-UV down to 33 nm to the mid-IR up to 15 µm. To cover this enormous bandwidth you will participate in making 4 supercontinuum sources, or beam lines
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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