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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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will work closely with the faculty members and postdocs that work in related areas. How to apply Your application must include the following: Application, stating reasons for applying and qualifications
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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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part of the interdisciplinary Novo Nordisk Fonden national project housed at CED, you will work in collaboration with other PhD students and a postdoc, and will have ample opportunities to interact with
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or more stays at the collaborating partners in Gothenburg of a few weeks to a few months, and close collaboration with both UCPH-based and visiting PhD students and postdocs. Our group and research – and
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at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We
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-preserving techniques. CLINDA includes 17 core staff members and collaborates with more than 20 affiliated postdocs and PhD students from other university faculties and Aalborg University Hospital. Learn more
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with backgrounds in physics, chemistry, materials, and computer science. The two sections comprise 13 (four in AMD, nine in ELM) PIs and approximately 50 PhD students and postdocs. Qualifications: Good
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of Sciences (UCAS), integrated into the MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation led by Professor Ying Liu. There is an active group of PhD students and postdocs working