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are looking for a strong candidate to work in a team on the interdisciplinary StochMan project that integrates elements of stochastic analysis, geometry, partial differential equations, and computational
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally
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is a strong characteristic of our project portfolio, both with large companies and SMEs. The main research focus is on developing high-performance metallic materials that are resistant to burning
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. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitroculture work In situmicroscopy and
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desirable. Finally, experience of field work (especially in northern aquatic environments), and/or working with eDNA methods, laboratory analysis, isotopic analysis, and statistical data analysis are all
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. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall biochemistry Plant in vitro culture work In situ microscopy and
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relevant medical science. Strong skills in data management and the ability to work with large datasets. Strong statistical analysis skills. Strong programming skills in a relevant statistical software
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on surfaces. What you will do Execute and develop MRI methodolgies applied to swelling of superabsorbent polymers including analysis. Present your work and publish your research findings in peer-reviewed
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light, as a carrier of spatial information. If you are interested in helping us to create the new generation of spatial omics, please apply. Also note: While the role focuses on nucleic acids, our
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well as the performance of relevant project tasks under supervision. Your duties will include handling of imaging- and tabular data, data matching, programming, procressing, analysis and preparation of scientific