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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
twins to replace hands-on training? Do you want to engage in a career within didactics of STEM (Science, Technology, Engineering and Mathematics) education? This PhD project is a part of the ACCESS
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aspects of development, and with a focus on environmental, international as well as administrative dimensions. Job description The PhD project is a part of the research project “Drought Resilience through
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, Chemical Engineering, Physics, Chemistry. Knowledge of dairy systems and/or relevant characterisation methods will be considered an advantage. Our group and research- and what do we offer? The group is a
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University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
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will be affiliated with the research group Strategy, Organisation and Management, which focuses on organizing, leadership and decision-making in private and public organisations. The project is a part of
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, engineers and more working together to fulfil the mission of the programme. We offer creative and stimulating working conditions in dynamic and international research environment. The group is a part of the
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characterization, quantum device simulation, and quantum algorithms. The group is a part of the Niels Bohr Institute, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen. The project will be