52 parallel-processing "Computer Vision Center" Postdoctoral positions at Aarhus University
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position is based at the Center for Quantitative Genetics and Genomics (QGG) under the supervision of Asst. Prof. Irene Julca. The position is offered as a two-year appointment, with the possibility of
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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical
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institution, industry, start ups or similar. You have a clear vision for how research-based innovation generates impact from natural science research, and experience with translating research into innovative
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upgrades on existing HTL-WO pilot plant chemical analysis of HTL products, data processing and analysis from experimental campaigns to produce scientific publications and reports active participation in
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supervised by Professor Cecilia Høst Ramlau-Hansen (Department of Public Health), MD, PhD Nis Brix (Department of Clinical Genetics), and Professor Doug Speed (Center for Quantitative Genetics and Genomics
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Missions of Autonomous Vehicle Swarms for Surveillance Tasks? Then the Department of Electrical and Computer Engineering at Aarhus University, Denmark, invites you to apply for a postdoc position. The
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a pivotal role as the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success
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transport, storage, cleaning/disinfection and processing conditions. Where work with high-consequence agents is not feasible, appropriate surrogates, indicators or non-infectious materials will be used
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sources and demand profiles. Spatio-temporal optimisation of waste-heat sources and supporting energy technologies integration. Cross-domain collaboration with computer science. This position is part of an
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Astronomy at Aarhus University. Job description The successful applicants will participate in the experimental research activities under ERC Synergy Grant IRAstro and DNRF Center of Excellence for