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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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, you will be investigating if the current metrics for accessing code quality are valid, and then you will be improving them using programming language techniques. Your goal will be to measure the effect
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly supportive, international team where your ideas are welcomed, and your growth is prioritized Work at DTU