248 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" "J" "U.S" Postdoctoral positions in Denmark
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strengthening global capacity for phenotypic and genomic surveillance of antimicrobial resistance, including the development of proficiency tests, external quality assurance, and laboratory training programs
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it
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have academic qualifications at PhD level, for example within areas of epidemiology, health sciences, medicine or related field. Strong skills within applied statistics, R programming and experiences
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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ecological data collection. The positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key
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relating to 19th-century science. Experience with archival work and/or knowledge of Scandinavian languages is an advantage, though not a requirement. Please include a research plan (max. 1000 words
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming