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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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communication skills in written and spoken English. It is a merit if the candidate has skills in programming languages (e.g. python or R) and good knowledge about agricultural cropping systems and ecology. In
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
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adapted to the interests and strengths of the chosen applicant. Expertise in any of the following can be an advantage, but none is obligatory: Reproducible data analysis in R/Python/Julia Cell wall
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, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
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(e.g., R, Python, or similar) and fluency in English are requirements. Experience in working with international organisations, knowledge of the Swedish Baltic Sea and North Sea ecosystems and fish stocks
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adaptation) Solid skills in quantitative data analysis and statistics (e.g., mixed models/ANOVA, regression, dose–response modelling) with reproducible workflows (R, Python, or equivalent) Track record
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trade-offs, system integration) Multidisciplinary modelling (combining cycle, component, aerothermal or thermal network models) Numerical methods and simulation tools (e.g., Python/Matlab, Modelica, CFD