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tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate
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- Documented mathematical, analytical and problem-solving skills. - Good knowledge of statistics, AI/ML, and mathematical modeling and programming. - Good knowledge in academic writing and reviewing
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experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating
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communication skills in written and spoken English We consider it a merit if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the
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demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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): Analysis of omics-data or other large-scale biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment
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, is required. You also need good programming skills in C++ and Python, and experience of ROS or ROS 2. Good oral and written English is required, since you will present the group's work in Sweden and
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genomics are required. The candidate should have proficiency in R, python, or comparable programming languages. Experience of working with long-read sequencing data is a plus. The candidate should
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programming, for example in R or Stata. You communicate very well in spoken and written English. We also believe that you have experience of analyzing longitudinal data, registry data, or cluster-randomized