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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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. The concrete tasks will be agreed upon with the supervisors, based on the candidate’s background and preferences. Task 1: Synthesis of quantum circuits. We intend to apply reinforcement learning. This task will
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. The concrete tasks will be agreed upon with the supervisors, based on the candidate’s background and preferences. Task 1: Synthesis of quantum circuits. We intend to apply reinforcement learning. This task will
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
University is renowned for its interdisciplinary, problem-based project learning (PPL) model, with exemplary projects mainly in physics and physical chemistry being supervised by Dorthe Posselt and group
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
nationally and globally. The university offers an inspiring research and teaching environment to its 37,000 students (FTEs) and 8.700 employees and has an annual revenue of EUR 1.106 billion. Learn more at
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experimental and suited for candidates who enjoy hands-on research, learning new techniques, and working across disciplinary boundaries. Your competencies We seek a highly motivated candidate with a strong