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University and comprises research within the areas of Plant Molecular Biology, Neurobiology, RNA Biology and Innovation, Protein Science, Cellular Health, Intervention and Nutrition. Please refer to http
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the development of GISAXS data analysis methods and is responsible for analyzing the data obtained. The postdoc will also prepare and characterize the thin films studied using e.g. spin coating and AFM. The optimal
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
for Quantitative Genetics and Genomics (QGG) holds a prominent position in research in developing breeding plans and breeding goals for sustainable production. We are developing simulation tools for breeding
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catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
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integrates basic and applied research, addressing the role, ecophysiology and evolution of microorganisms in natural, technical and clinical systems and in biotechnology (https://bio.au.dk/en/about-biology
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Biotechnology Research Institute for the Green Transiation (BRIGHT) is developing novel methods to engineer proteins
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medicine. The lab invented the RNA origami method [1] and have developed basic algorithms and software for RNA design. However, there is a great need to develop new software for the design of advanced RNA
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid
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initially for two years with the possibility of extension. We are seeking a highly motivated researcher who is excited to play a key role in developing an ambitious research programme and establishing