215 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information Applicants seeking further information are invited to contact: Dr
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The Department of Molecular Biology and Genetics and the Danish Research Institute of Translational Neuroscience (DANDRITE, Nordic-EMBL partnership in molecular medicine) at Aarhus University
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should hold a PhD within antibody expression, production and/or engineering. Experience with protein aggregation is an added advantage but not critical. You are expected to be interested in both
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of Natural Sciences at Aarhus University now invites applications for four permanent positions as Professor or Associate Professor with focus on research-based innovation within the natural sciences
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A two-year Postdoctoral position in the research project: Advancing Building in School: Science and technology in SHAPE (ABIS) The research project Advancing Bildung in School: Science and
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The research project Advancing Bildung in School: Science and Technology in SHAPE (ABIS) invites applications for a two-year postdoctoral position based in the Department of Philosophy and History
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biology to integrate multi-omics and functional information across plants and identify genes associated with stress resilience. The position is part of the Novo Nordisk Foundation Emerging Investigator
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Engineering. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms of employment in the regular programme Employment as PhD
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. Omics data handling and basic bioinformatics. Personal qualifications The successful candidate will work across plant physiology, molecular biology and microbiology and collaborate closely with the two
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science discipline such as economics, geography, sociology or a closely related field. You have a strong profile in quantitative methods and are motivated by using data-heavy analyses to answer questions