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bioinformatics, statistics, and programming The candidate must have a strong motivation and interest in collaboration with multi-disciplinary scientists. They must be able to communicate effectively in a highly
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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culture, and flow cytometry preparation of deep sequencing libraries for functional genomics experiments bioinformatics, statistics, and programming The candidate must have a strong motivation and interest
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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. The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high
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, statistical mechanics, Monte Carlo modelling is an advantage Your workplace Your workplace We offer ETH Zurich is a family-friendly employer with excellent wokring conditions. You can look forward