188 cloud-computing-associate-professor-"https:"-"https:" Postdoctoral positions at Nature Careers
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systems and a vibrant interdisciplinary community at Aarhus University, including collaborators in biophysics, neurodegeneration, spectroscopy, and computational modeling. You would join a dynamic research
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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The Omenn-Darling Bioengineering Institute at Princeton University invites applications for the Gilbert S. Omenn, MD. '61 and Martha A. Darling *70 Postdoctoral Fellowship Program. This opportunity
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research group led by Professor Morten Nielsen. Your main focus will be centered on further developing the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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. Explore more at www.eit.org. Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford
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be obtained from Associate Professor Sheng Wang (e-mail: swan@agro.au.dk ; Phone +45-9350 8301), Associate Professor René Gislum (e-mail: rg@agro.au.dk ; Phone: +45-87158279), and Center Director
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evaluation of predictive models and statistical approaches to understand treatment outcomes. Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity