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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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national or international funding to advance science in line with your research vision Participate in teaching activities, including the co-supervision of MSc and PhD student projects Have leadership skills
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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing
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prestigious Research Centre for Environment-friendly Energy (FME) program. It brings together over 60 partners from industry, research, and academia, forming one of the largest and most comprehensive maritime
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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Prof. Jan Østergaard, who also heads Research Thrust 3(RT3) within the center. A dedicated supervisory team composed of experts from the departments of electronic systems, computer science, and
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Economics research group. Building on the group’s expertise in firm organisation, the vision of this project is to apply concepts from Personnel Economics to sports and/or education contexts. Specific topics
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#conduct workshops with local stakeholders, including rural producers, community leaders, and environmental organisations, to a) identify land use-related impact chains and b) co-create a vision for a