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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written English are expected. The candidate must be capable of independent planning, execution
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relevant statistical methods and how to handle large sets of clinical and imaging data, as well as bioinformatics training on genetic data. Duration: 24 months Stipend: 394,800 SEK per year (non-taxable in
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. The candidate should also demonstrate an excellent understanding of and ability to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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degree. Applicants with experience in one or more of the following fields are encouraged to apply: Organoid culture Flow cytometry Microscopy Bioinformatics analysis Previous publications are considered a
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. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics
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the equivalent of a doctorate in statistics, bioinformatics, mathematical statistics or equal subject is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological