110 data-"https:" "https:" "https:" "https:" Postdoctoral positions at Nature Careers
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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Mechanobiology, Stem Cell and Bone Marrow Niche Biology, or a related field Professional experience in cell mechanics research Professional experience with confocal microscopy and data visualization Professional
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Information For further details about the position, please contact Professor Vijay Tiwari at tiwari@health.sdu.dk Application deadline January 11, 2026, at 23:59 hrs. CEST Apply online: https://fa-eosd
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further information are invited to contact Associate Professor Niculina Musat (niculina.musat@bio.au.dk). Who we are The successful candidate will be employed by the Department of Biology at Aarhus
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proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors, including metabolic
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fitness in different environments. Please check out the lab website for more descriptions of our research: https://sifangwei.github.io/ 4. Position Description and Qualifications: We are mainly looking
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analytical and biochemical methods, molecular barcoding, sequencing, and high dimensional data analytics. The project will be implemented in collaboration with other groups at Department of Molecular Biology
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA