290 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" Postdoctoral positions at Nature Careers
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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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quantitative biophysical techniques such as NMR spectroscopy and/or small-angle X-ray scattering is required to capitalize on the opportunities of this project. About the lab and St. Jude: The successful
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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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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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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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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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, 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
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and clathrin (PMID: 29921601 and BioRxiv https://doi.org/10.1101/2025.08.20.671218). Septins act as a restriction factor that suppresses viral release from the cell, while clathrin enhances viral spread
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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