15 parallel-processing-bioinformatics "https:" research jobs at Lunds universitet in Sweden
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at the Division of Chemical Engineering. The dairy group conducts research and education in dairy technology and dairy processes, with a focus on milk quality and how raw material and process conditions affect the
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spectrometry, as well as NBIS (National Bioinformatics Infrastructure Sweden). The Department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced
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conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and areas of responsibility As a
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four-generation family trees with financial information derived from probate inventories. The main phase of data collection has now been completed, and the project is entering a stage of data processing
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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>99 researchers at six departments to develop education, research & infrastructure in battery technology. There is strong research on materials, cell concepts, processing, battery control, monitoring
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cells to develop novel therapeutic strategies for difficult-to-treat cancers. A central part of the work will be to evaluate the therapeutic potential of the engineered immune cells using molecular and
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in the development and exploitation of X-ray and neutron methods for materials research and in, amongst other things, research into understanding the coupled electrochemo-mechanical processes of solid
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reputation for its broad research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic
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scattering (SANS/SAXS) Participation in experiments at large facilities (e.g. MAX IV, ESS, ISIS etc.) Processing and interpreting SANS/SAXS data both within the project and other projects in the research group