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and robotics). Proficiency in Python, MATLAB, and/or C++ programming dialects (knowledge in other languages will be valued). Marine fieldwork experience with deployed platforms is an advantage. You must
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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for highly motivated and skilled candidates for PhD positions at DTU Physics. We invite you to join our international leading research environment where we encourage collaboration and knowledge-sharing
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qualifications: Master’s degree in engineering, preferably supported by first academic publications Documented knowledge in mechanical engineering Documented knowledge in industrial automation Documented
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which allows to acquire knowledge in new experimental techniques and quantum matter physics. We offer: • A PhD Student position in an ambitious and supportive, international research environment • A
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-oriented, knowledge-sharing, and outgoing research unit in our approach to working with society, industry, and policymakers. We strive to push the boundaries of disciplines and continually seek to be
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active research environments, including a stay at another research institution, preferably abroad Teaching and knowledge dissemination activities Write scientific papers aimed at high-impact journals Write
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inclusive research environment that values collaboration, mentorship, and professional growth. With a strong emphasis on teamwork and knowledge-sharing, we provide a supportive setting for early-career
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biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI