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. Excellent English skills written and spoken. Experience with usage and programming in R. Desirable experience and skills: Basic knowledge of regression analysis Place of employment The place of employment is
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post is partly funded by
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cleanroom processes, lithography, and metal deposition. Experience in magnetotransport measurements. Structured work attitude and ability to plan and carry out sophisticated research activities. Excellent
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passionate for research and for pushing the scientific frontiers. Excellent programming skills. Good collaboration skills. Fluent in English, spoken as well as written. As a formal qualification, you must hold
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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and design of the research plan You will be working with an interdisciplinary set of tools and approaches covering molecular biology, chemistry, materials science and physics. You will be involved in
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prognostic transcriptional programs through an epigenetic switch. Nat Genet. 56(4):663-674. Siersbæk et al., 2020. IL6/STAT3 signaling hijacks ER enhancers to drive breast cancer metastasis. Cancer Cell 38(3
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-development-programme/ If nothing else is noted, applications must be submitted in English. The application deadline is at 11.59 pm Danish time (same as Central European Time) on the deadline day. Aarhus
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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab