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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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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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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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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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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