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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies
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methods, you will contribute to user-friendly statistical software, such as an R package, and develop guidance material for other researchers. You will share your findings through academic publications
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, text analysis); Demonstrated excellence in independent academic research, commensurate with the level of a research masters, as evidenced by an (R)MA thesis and/or academic publications; A demonstrable
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hold an MSc (or equivalent) in Remote Sensing, Geoinformation Science, Statistics, or a closely related discipline, and feel comfortable programming in Python/R? Are you a critical thinker who can assess
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implementation. Working within an applied R&D environment where secure cloud infrastructure and product-quality software engineering are essential (Evidencio’s platform is hosted on AWS). You will be embedded in
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(e.g., difference-in-difference research designs); experience with handling large (register and survey) datasets; experience with statistical software such as Stata or R, and coding; an affinity with
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to several available omics datasets, both open-source and provided by collaborators, and you will develop R packages to implement the methods. By improving model assessment and interpretability, your work will
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, preferably in R or Python; Have, or will shortly acquire, a quantitative master's degree (for example, in Health Economics, Econometrics, Technical Medicine, Industrial Engineering, Biomedical Engineering
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omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and problem-solving
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with working with omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and