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research environment and supervisor team with expertise in pharmacoepidemiology, pediatrics and child and adolescent psychiatry. We combine clinical perspectives and data sources with advanced population
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combination of activities including securing competitive funding at national and European levels, building new collaborations within DTU and with external stakeholders, and initiating high-impact scientific
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assessments. Responsibilities and qualifications The project will contribute to a comprehensive, Cradle-Gate impact database for combinations of feedstock, pretreatment methods and microbial products
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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel
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research agenda. You should be excited about successfully combining theory and practice by developing data-driven methods and perspectives for sensing, computing, and communications engineering, and thrive
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About Us You will join an international and highly
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interfaces This project explores advanced inverse design methods for next-generation EDC photonic systems. By combining topology optimization with physics-based modeling, it aims to discover new light–matter
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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations
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related field relevant to medical technology commercialization. The ideal candidate holds an MBA degree, and candidates with a PhD are also welcome, particularly if combined with an interest in
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, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales