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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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in English. A completed doctoral degree in a relevant subject area, such as molecular biology, tumor biology, immunology, or a related field. Strong ability to initiate, develop and conduct high
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of nucleic acids and library preparation). Familiarity with bioinformatics for meta-omic applications. Ability to communicate in English, both written and orally. Comfortable working in a diverse research team