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at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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the emergent properties of the twisted membranes. Analyzing and interpreting the results obtained from the microscope. Formal qualifications PhD In Physics, Materials Science, Chemistry, Electrical Engineering
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hearing from researchers with oceanographic, as well as meteorological, science background. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale
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(CIL) and contribute to open-source reproducible research. Together, we aim to push the boundaries of mathematical imaging data science, materials science and digital building technology
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the group and engage in some teaching. As a formal qualification, you must hold a PhD degree in supramolecular chemistry, organic chemistry or carbohydrate enzymology (or equivalent). If you have an organic
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coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
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the Section of Materials and Surface Engineering at https://construct.dtu.dk/sections/materials-and-surface-engineering . If you are applying from abroad, you may find useful information on working in
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for an appointment as a postdoc in social dynamics and complex systems. The position is funded by the Villum Young Investigator grant titled “Bridging social neuroscience and social data science: uncovering
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shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities