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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly emphasized. Such experience should be documented. Scientific Curiosity: You are eager to bridge the gap between
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advantage. Experience with advanced live-cell light microscopy will also be considered a major advantage. Data Analysis: Experience with programming (for example Python/Matlab) and image analysis is highly
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electricity/electronics, chemistry, and optics, as you will be working with advanced custom instrumentation. Experience with programming (for example Python/Matlab) and image analysis is highly recommended
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in relevant genetic data analyses such as GCTA, polygenic scores, GWAS, or family genetic risk scores. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register
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necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in
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. Computational and Data Analysis: Proficiency in software such as FlowJo and GraphPad Prism is expected. Experience in large-scale data analysis and familiarity with programming languages such as R or Python is