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are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples
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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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. Nordregio participates in European, Nordic and national research programs and carries out commissioned projects for different levels of government. We conduct case-studies in different regions, perform
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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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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
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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