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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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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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regions. Implementation methods will include: Seasonal sampling of food web components, from primary producers to fish, during open-water (summer) and under-ice (winter) conditions. Analysis of biomarkers
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the Nordic countries and North America. The project will use samples and data collected from Arctic/alpine lakes in Sweden and other circumpolar regions. Implementation methods will include: Seasonal sampling
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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to actively participate in teaching and student supervision, corresponding to a maximum of 20% of full-time employment. Applicants should have experience with basic methods in biomedical laboratory science
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experimental and computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease (www.camunaslab.org ). The candidate will contribute to the improve Slice-seq, a
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and statistical methods as part of a close collaboration between Uppsala University, Westinghouse, and Vattenfall? Would you like to contribute to the development of fast, robust and reliable
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biological data. Analyzing and visualizing collected data using appropriate statistical methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting