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motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity. Over the last
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of articles in scientific reviews and contributions to conferences Assisting with teaching activities, one to three hours a week, and contributing to tutoring students The PostDoc will primarily coordinate and
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neuroscience, as well as data and decision sciences. Human Technopole is looking for a Postdoc in Soskic Research Group part of the Genomics Research Centre . Soskic Group studies molecular mechanisms
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Area of research: Scientific / postdoctoral posts Job description: Postdoc for "Large-Eddy Simulations of Arctic air-mass transformations" (m/f/d) Background The Arctic climate is shaped by
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The Department of Food Science, Aarhus University, Denmark, invites applications for a 2-year Postdoc position within sustainable production and open-field cropping systems of vegetables. We
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
formulations. Your profile as postdoc Academic qualifications at PhD level Background in microbiology and/or microbial bioinformatics In particular: capable of and interested in working with integration
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Company Description The University Ramon Llull is a confederation of schools, faculties and departments. IQS is its oldest founding member and consists of two major schools, the School of Engineering and the School of Management that form each an administrative grouping of departments and other...
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to emerging carbon dioxide removal techniques. To this end, distributed pelagic imaging techniques enable the sustained observation of aquatic life and its debris, comprehensively covering the earth’s water
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The Population Biology Group at the Department of Biology, University of Southern Denmark (SDU), invites applications for a 2-year position as a Postdoc in Woodland Phenology and Climate Change
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune