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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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develop the needed extensions for this project. Implement and test the new methodology of your PhD project Create ground-truth datasets for training, validation and test of the methodology Participate in
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and electrolysis cells for many years, and we are among the world’s leaders in research and development in this area. We have excellent facilities and competencies for fabrication, modeling, testing
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chemistry, designing and testing porous composite materials for advanced water remediation. What We Offer: Access to world-class facilities at DTU Nanolab, including cutting-edge electron microscopy
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products under different operating conditions. Testing new bioreactor configuration for carbon dioxide biological conversion. Modelling carbon dioxide fermentation to acetic acid. Contribute as teaching
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predictive maintenance models combining physical and ML approaches. Test, validate, and integrate developed solutions in real industrial environments. You must have a two-year master's degree (120 ECTS points
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to the development of machine learning frameworks You are eager to elaborate on the newest research results, improve ideas, and test/validate by engagement with national and international collaborators You will have
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, synthesis, characterization and test for sustainable energy solutions We also have research activities in our three interdisciplinary centers relating to nuclear energy, catalysis, and visualization
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to: Design and conduct research projects in collaboration with the supervisory team Examine and analyse data on startups supported by BII Collect and analyse additional quantitative and qualitative data from
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine