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expression systems. Moreover, the project involves the development of novel methods for quantification of ligand binding under native receptor expression conditions as well as in genetically engineered cell
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, microbiology, nutrition and diseases in both laboratory animals and human infants and children. The work extends from basic in vitro studies in cells and tissues (gut cell lines, primary blood and immune cells
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the successful candidate: Strong R programming skills Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell) Any of the following features are highly desirable, but not strictly
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: Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell) Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two
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or transcriptomics (bulk/single-cell) Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two-year master's degree (120 ECTS points) or a similar degree
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Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell) Any of the following features are highly desirable, but not strictly required: Experience with developing bioinformatic
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universities wind energy research in Europe and beyond. You will be a part of two very exciting projects, Independent Research Fund Denmark OptiWind and Horizon Europe TWAIN project . Both projects apply
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an individual with an excellent academic record, high intrinsic motivation, and intellectual curiosity to pursue interdisciplinary research in pharmacology, cell biology, biochemistry, and immunology. Due
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sustainable energy and a greener internet, as well as strengthening cyber security and health technology. Working with the industry and public organizations is one of our top priorities to find and implement
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engineering of biopharmaceutical cell factories. Thanks to recent advances in computational and analytical biology, it is now possible to reconcile mechanistic models of cell metabolism with information from