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Fluorescence in situ hybridization Spatial transcriptomics Programming: bash, python, R You are self-driven, flexible, and have good problem-solving skills. Willingness to collaborate is a requirement for your
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and expertise will strengthen an application: proven experience with Unix command-line interface (CLI) and Bash scripting proficiency in a higher-order programming language like Python or R experience
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solid experience in coding with R, analysis of metabolomics and proteomics data, as well as in machine learning. You also need to have good knowledge of magnetic resonance spectroscopy and multiple
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. Excellent coding skills in R, Python, or equivalent language. Research interest in causal inference (see e.g., Morgan and Winship, 2014, Counterfactuals and Causal Inference or Imbens and Rubin, 2015, Causal
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in the following methods/techniques: IncuCyte-based automated microscopy Isolation and cultivation of primary cells Programming in R for bioinformatic analyses of high-dimensional data High-throughput