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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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student will use and develop both computational and laboratory-based tools. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry
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(e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in