68 developer-"https:" "https:" "https:" "UCL" Postdoctoral positions at Nature Careers in Denmark
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools
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, professional development, and supervision within reproductive and female-related epidemiology. The postdoc(s) will be affiliated with the FEMME project (FErtility and Medically assisted reproduction: Mapping
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
candidates regardless of personal background. Application deadline: 1st of May 2026 at 23:59 hours local Danish time Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1
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The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a
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communication skills orally and in writing are mandatory. Who we are All post doc fellows will be part of Center for Ice-Free Arctic Research (CIFAR). You can find more about the center here: https://bio.au.dk
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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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; phone: +45 2498 4101). Application deadline The application deadline is January 25, 2026, at 23.59 hrs. CET. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets