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epidemiology in connection with an ambitious new large-scale study within molecular epidemiology. The study will combine data from the Danish nation-wide registries with pre-diagnostic biological data to study
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large
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in spoken and written English. Additional desirable qualifications Some experience with 'Big Data' or another complex data organization project will be preferred but not required if advanced coding
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive innovation in human, animal, plant and food
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance