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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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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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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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fieldwork – in one or more infrastructure sectors (e.g. energy, water and sanitation, mobility or food) in European and Indian cities analyse the material using qualitative process methods (path tracing) and
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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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or other microbiological methods, molecular laboratory methods, or DNA-based analyses. Experience of ecological or statistical data analysis. Knowledge of Swedish or another Scandinavian language, or a
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conifers and as part of climate-adapted forest diversification. Its wider use, however, requires better knowledge of management methods and site selection to support healthy, productive planted stands
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. The following are desirable: Experience of fieldwork, particularly forest health inventories or field experiments. Experience of fungal isolation or other microbiological methods, molecular laboratory methods
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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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compiling a methods guide. The data gathering requires local travel, while other tasks are completed on site at Lund University. Qualifications The assessment will primarily be based on your research merits