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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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experience in the analysis and handling of single-cell RNA sequencing data. Experience working with tumor genomic analyses. Great importance will be placed on suitable personal qualities. The role requires
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these may be taken into consideration. The applicant must hold a PhD in Pediatrics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and Olink
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal communities, soil organic matter quality
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at companies in Stockholm to gain insight into the production of antigen / peptides and training in novel diagnostic technology, incubation and antigen stimulation of cells, result compilation, data analysis and
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position will be placed in the ISOVIS group (http://cs.lnu.se/isovis/ ), led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large
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*. You will need strong written and verbal communication skills in English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and
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on these by modification and processing. The work will also involve development of analysis tools and sample environments aiming towards in-situ/operando studies. Who we are looking for The following