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professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 180 years, our brands and imprints have been a trusted source of
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The Department of Food Science The Department of Food Science is part of the Faculty of Technology, Aarhus University and includes research across the food value chain within the areas of Plant Production Systems
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
the Ecology group https://www.sdu.dk/en/forskning/ecology . The successful applicant is expected to have a research background in basic and/or applied research related to systems ecology, with a focus on
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. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health
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at the rank of assistant professor, associate professor or professor. The successful candidate will be expected to build a competitive program in cell and developmental biology, mentor and teach graduate
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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requirements of national science and technology talent programs. Applicants can only hold one national science and technology talent program at a given level and are ineligible to apply for programs at a lower
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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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Computer Science, Biomedical Engineering, Statistics, Biomedical Sciences, Electrical Engineering, or a related quantitative field Strong programming skills (e.g., Python, R, or similar) Demonstrated research