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. Experience in performance, evaluation and maintenance of nLC-MS/MS systems. In-depth knowledge and experience in statistical and bioinformatics analysis of proteomic data. Experience from programming e.g. in R
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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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behavioural data collection and welfare assessment. Strong statistical skills (R preferred). Practical experience working with farm animals, ideally pigs. Ability to independently plan and conduct research
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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machine learning at a scale. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning
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healthcare professionals and patients Good knowledge of statistical methods including non-parametric methods Knowledge of user experience (UX) Your employment Employment according to Agreement on Fixed-Term
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statistical) of benthic foraminifera and/or other microeukaryotes. Experience of colorimetric and chemoluminescence analysis techniques for pore-water and intracellular nutrient content. Experience using
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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