31 data-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Nature Careers in Denmark
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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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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analytical methods to large data sets The possibility for contract extension Flexibility in planning working hours Advanced professional training opportunities Possibility of participation in international
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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, creating CRISPR engineered cell lines, generating NGS data, including high-quality ChIP-seq data. The candidates with experience in both wet lab and bioinformatics will be able to do both (i.e. work in the
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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national and international collaborations and access to world-class infrastructure. Lab website: https://www.sahu-lab.com/index.html Department of Molecular Medicine (IMM) The Department of Molecular
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Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) , an elite cluster
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institutions. Access to state-of-the art equipment, advanced workflows, and robust infrastructure. Key Responsibilities: Planning, executing, and managing wet-lab experiments and data analyses, including