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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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models. Development of research tools and software for data analysis, successful patents or attempts to commercialize translational research. As the applicant may have experience in research and
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inclusion. An example of this type of measure is outer measures. These measures are also called capacities, fuzzy measures, and monotone games, and are used to represent interactions between elements
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in biochemical and molecular biology techniques (e.g., protein purification). Hands-on experience in protein structure and function analysis (e.g., NMR, X-ray crystallography, cryo-EM) and/or
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protocols for data analysis, visualization, and interpretation. We also use and develop new cryo-electron microscopy techniques. The PhD student will be trained in a highly international environment with
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, immunohistochemistry, and multiplex RNAscope analysis. We utilize tissue culture and develop 3D culture models, conduct infections with ex vivo primary cells, and purify peripheral blood mononuclear cells from mouse
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, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers, or similar. Familiarity with linear algebra libraries and high-performance computing
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peatlands, with little consideration of what this decision may mean for downstream aquatic ecosystems. The postdoc will lead the acquisition and analysis of aquatic sensor data collected from a network of
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genetics, genomics or microbiological and molecular biological techniques. Experience of high-throughput assays and data analysis, programming or interdisciplinary collaborations are merits. The applicant
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connection to KBC access to modern instrumentation for the fabrication and analysis of materials and devices (www.umu.se/en/chemical-biological-centre/kbc-scientific-infrastructures ).