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be in developing new algorithmic techniques for testing and verifying highly distributed database systems. Start date: The starting date is 1 October 2025 or as soon as possible hereafter
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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, longest-chain and DAG-based), integrating timestamping mechanisms, and analyzing performance. The ideal candidate should have taken the distributed systems course, or prove similar knowledge, and have
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about their web experiences Conduct interviews with producers who made web content for children in Korea between 1995 and 2005 Participate in making, distributing and analysing a three-country survey on
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of machine-learning algorithms for unmanned aerial vehicles; dissemination of the results in international conferences and journals; proposal writing for external funds. Your profile The successful candidate
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the best 8 percent") or if that is not possible, general information from your University as to how grades were distributed in the year of your graduation, will be appreciated. Please note that Aarhus BSS
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, Professor Yury Shtyrov, email: yury@cfin.au.dk. Your place of work will be flexibly distributed between 2 main CFIN sites: CFIN North, Aarhus University Hospital, Skejby, Palle Juul-Jensens Boulevard 99, 8200
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systems debugging knowledge of distributed computing technologies scientific software design scientific workflow tools Strong background in Linux systems Relevant programming skills (e.g., shell scripting
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related field, with research interests in one or more of the following areas: Advanced technologies in energy generation, distribution and demand—always with a focus on both technology and business