50 parallel-and-distributed-computing-phd-"Meta"-"Meta" uni jobs at Aarhus University
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. The research team you will work with is leading an international program that brings together scientists from high-profile institutions across the globe to tackle one of agriculture’s most pressing challenges
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play a central role in elevating the visibility, influence, and global reach of a groundbreaking international research consortium. This world-class program brings together scientists from leading
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verification of compiler optimizations in Rocq The position is for 15 hours per week. Starting on September 1, 2025 - or soon thereafter . The place of work is: Computer Science, Aarhus University - Åbogade 34
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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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well as an OPM MEG setup (presently being established). Computer-controlled visual, auditory, olfactory and somatosensory stimulation as well as behavioural response monitoring and eye-tracking systems
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, including research and teaching activities, as well as in management and/or organisational roles (such as participation in the central study board, degree programme boards and various local management
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, teaching at university level, and should be prepared to teach and supervise across all levels of the degree programme (Bachelor’s, Master’s and PhD) in education science and on DPU’s professional Master’s
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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
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for candidates who offer: A PhD in consumer science, food science with a behavioral or market orientation, marketing, psychology, economics, or a related discipline Proven experience in quantitative research