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Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data ...
available from 01 March 2026 or later. You can submit your application via the link under 'how to apply'. Title Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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Department of Ecoscience seeks a senior scientist to advance data-driven biodiversity science and strengthen advisory work. Join a dynamic research environment at Ecoscience, Aarhus University
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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of experience with research on fish diseases, and a large international network of collaborators. The section is the National reference laboratory on fish, crustacean and mollusc diseases, and EU reference
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together a large network of European stakeholders across universities, industry, training providers, and policy organisations, with the goal of strengthening Europe’s quantum talent pipeline and accelerating
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human