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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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the High-Performance and Automatic Computing group (HPAC), and jointly supervised by Paolo Bientinesi and Lars Karlsson. HPAC’s webpage: https://hpac.cs.umu.se/ Admission requirements The general admission
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findings are expected to be published in high-ranking journals in the field. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. What you will do Perform
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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Angeles (USA). We seek three brilliant PhD candidates who are passionate about using computer simulations and performing data analysis of various spacecraft observations. Despite their modeling nature
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team of researchers on a European project. As a main topic, you will perform your research in one of these areas: -Service oriented software in the cloud-to-edge compute continuum targeting robust
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appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will collaborate closely with
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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the doctoral program and is based on the following assessment criteria (listed without inherent priority): previous academic performance the quality of the research sketch submitted and its relation
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems