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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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. Develop GUI tools for the developed methods. Publish high-quality journal papers. Supervise MSc student projects and be co-supervisor for PhD students. The successful candidate is expected to have: A keen
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at DTU Compute. The position is part of the large EU project Shift2SDV, which brings together 81 partners to shape the future of Software Defined Vehicles (SDVs). DTU’s role is focused, and the postdoc
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collaborative colleague for this position, able to partake the following primary tasks: Coordinate laboratory-scale demonstration activities of remanufacturing, facilitating planning and execution of tests
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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. The focus areas are Find the best solutions to forecast hybrid power plant generation from minute-level to day-ahead, including implementation, test and validation at the DTU Risø HPP facility Understand and
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fluctuating temperatures across permissive and stressful temperatures. This involves experimental work with model and non-model organisms, including insects and/or plants suitable for testing hypotheses
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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for the float zone process and test these in experiments performed at lab-scale as well as based on operational data from production. Contribute to publishing our models and results in high-ranking journals and
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postdoc focused on developing new cement formulations and characterization techniques. For algorithms and software there will also be the opportunity to work with the team behind the Core Imaging Library