12 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Aarhus University in Denmark
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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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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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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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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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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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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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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
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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