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an international, dynamic team. Your profile Applicants should have an interest in the molecular mechanisms of RNA modifications and how these could be targeted for therapeutic use. Candidates should hold a PhD
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laboratories, core and animal facilities. You will work in the brand new ‘Skou Building’ located at the Aarhus University Campus. About the research group The Laboratory for Gene-Regulatory Mechanisms in Cancer
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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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. 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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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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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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the role and mechanisms of receptor signalling in neuronal plasticity. The center of Excellence for “Protein in Memory” seeks to understand the molecular basis for memory with an emphasis on protein
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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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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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(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