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(e.g., laser systems, modulators, optical signal processing). Proven independence in research, with a track record of creative problem-solving. A curiosity-driven mindset, eager to explore uncharted
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-reviewed publications considered by the candidate as most important for this position. Please note that a copy of each publication must be attached as a pdf file. It is permitted to merge copies
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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. The candidate is hence expected to have most of the following qualifications: Expert knowledge in the control of robots Experience in simulation of robotic systems Experience in design and development of robotic
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of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ An Equal Opportunity Workplace The University of Copenhagen is committed in its pursuit of academic excellence to equality
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on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ The Department of Political Science The Department is a top-ranked European Political
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of Public Health: https://publichealth.ku.dk/ International Staff Mobility: https://ism.ku.dk/ Application process Your application should be written in English and must include the following documents – all