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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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, leading to reduced repeatability of the results. Existing machine polishing solutions are either limited to simple part geometries or are characterized by lengthy identification of suitable process
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for realistic haptic control and feedback, real-time agent-based simulation for guiding optimal work task performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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of Campylobacter through literature review and conduct interviews to assess the current biocide use in the Danish poultry industry. Develop, optimize, and validate culture-independent assays by planning and
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modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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, leading to reduced repeatability of the results. Existing machine polishing solutions are either limited to simple part geometries or are characterized by lengthy identification of suitable process
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to work in an international team, work with forefront methodologies, and contribute to the investigation of persistent, mobile and toxic substances in drinking water, then DTU and Norwegian University