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-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be found on the PCOG website . Your profile Required qualifications and experience: PhD in any discipline
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should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field . Experience in planning and executing experimental work in one or more of the following
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. We expect that you Hold a PhD (or view to obtain a PhD degree) in economics, health economics, statistics, data science, or a related field. (Please note that, in accordance with the rules
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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biochemical flux and pathway regulation. The RIBOTICS project involves a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell
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you! Responsibilities and qualifications The Postdoc positions address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and international
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
of defined microbial communities, and modeling on metabolic interactions. Your qualifications You should have a PhD in microbiology, molecular biology, molecular genetics, or related field, and
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infrared spectroscopies). Furthermore, the data obtained provides ideal grounds for new multivariate techniques to be developed as well as it allows efficient data collection on unique and rare samples