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The Blackford group (https://icmm.ku.dk/english/research-groups/blackford-group/ ) aims to understand the molecular mechanisms that cells use to maintain genome stability, using a combination of genetic
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at the campus including Centre for Industrial Electronics and Centre for Industrial Mechanics as well as with the industry, which counts world leading companies in growing fields such as e-mobility, automation
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. This methodology will be used towards the synthesis of novel oligosaccharide-based macrocycles, foldamers, receptors and mechanically-interlocked molecules. Your work could include: the design, organic synthesis and
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learning. Depending on the interest, it is also possible to be involved in the wet lab, to perform single-cell sequencing and other experiments. To learn more, please refer to the selected publications from
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a good knowledge of statistical mechanics, good English communication skills and experience with all-atom or coarse-grained molecular simulations. The candidate should be comfortable with programming
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mechanism regulating their secretion. You will employ advanced techniques including spectral flow cytometry, nano flow cytometry, mass spectrometry, and RNA sequencing. The ideal candidate will have a
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or an equivalent domain. You are expected to have proven scientific excellence. The candidate should have documented experience of synthetic solid state and materials chemistry and X-ray diffraction as
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conveyors of OGT, and dissecting the relative molecular mechanisms of the OGT-CDG disease in fruit flies. You will be working closely with other postdoctoral researchers, guiding technician, maintaining
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the center. The center is collaborating closely with other centers on the campus, including the Centre for Industrial Electronics and the Centre for Industrial Mechanics, as well as with the industry, which
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(edge to cloud), European Data spaces, SIMPL middleware, Interoperability Frameworks (e.g. Minimum Interoperability Mechanisms (MIMs), etc) If you additionally like to create results based on knowledge