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- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen
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Field
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epigenetics and gene regulation including histone modifications, transcription factor binding and chromatin accessibility assays Design research projects and support in establishing complex molecular biology
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microenvironments. To achieve that we use state-of-the-art single-cell RNA-seq, multiome, and spatial transcriptomics data generation combined with computational analysis to establish principles of blood lineage
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other members of the EeMi project working on sedimentology, stratigraphy, inorganic geochemistry, elemental analysis, and other proxies. The position is based in the Department of Geo-energy and Storage
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. A solid publication track record in the relevant field of expertise. Experience with thermal image analysis is an advantage. Experience with hardware such as drones and cameras are an advantage. Good
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work in close collaboration with companies in the sectors of metal products & components, mechanical & electro-mechanical products, electronics products, and plastics & composite products. The objective
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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analysis with X-ray and entron diffraction. Property characterisation using a physical property measurement system (PPMS) and a SQUID magnetometer (MPMS). Ab-initio DFT calculations for property predication
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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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health, though expertise in these areas is not required for applicants. The position will involve primary responsibility for data organization and statistical analysis, as well as co-authorship
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electron microscopy, single particle cryogenic electron microscopy or X-ray crystallography. Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational