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collaboratively with a range of stakeholders and partner organizations. Fluent in English and a Nordic language. The geographic scope of your fields of interest includes in-depth knowledge of at least one Nordic
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plan and conduct data processing and statistical analyses. Knowledge of statistics and programming (e.g., R) is therefore a requirement. The candidate is expected to compile research results, interpret
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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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
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technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period. Biostatistical competence and experience in working with
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statistical physics/complex systems. The research activity of the local academic staff is supplemented by Nordita Scientific Programs, which bring together groups of leading experts to work on specific topics