40 developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Nature Careers in Denmark
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Questions of how Darwinian evolution started are addressable with modern biochemistry. Applicants are invited for a 2-year postdoc position in the field of RNA synthetic biology at the Department
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of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis
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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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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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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets