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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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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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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description The research projects on sustainable
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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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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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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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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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will be part of a dynamic and inspiring working environment in the beautiful city of Gothenburg on the West coast of Sweden. About us The Department of Computer Science and Engineering is a fully
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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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build the sustainable companies and societies of the future. At the Department of Computer Science, Electrical and Space Engineering, the university has brought together research and education in