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the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You find information about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ The
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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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analyse experimental data. We are looking for a candidate with a strong experimental background in condensed matter physics, nanoscience, materials science, electrical engineering or a related field. You
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
critically analyzing experimental data using advanced characterization techniques Publishing high-quality research in leading international journals and presenting findings at international conferences
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process at https://employment.ku.dk/faculty/recruitment-process/. Interviews with selected candidates are expected to be held in late September 2026. Questions For specific information about the PhD
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will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates
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and interdisciplinary research environment combining process, chemical, energy, and electrical engineering. The group works with modeling, simulation, control, optimization, and experimental validation
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candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability