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phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility
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., Python, Matlab, R) is required. Knowledge of climate variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with
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cycle processes, dynamics of oxygen and nutrient cycles, is required. Expertise in scientific scripting, programming, and data analysis (e.g., Python, Matlab, R) is required. Knowledge of climate
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the link "Apply for this job". The following documentation must be uploaded electronically: Certificates with grades Master’s thesis References Academic work and R&D projects, as well as a list of these An
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, neuroscience, medicine, or similar Experience as clinical psychologist and with structured clinical assessments Expertise in statistical analysis using R or similar Experience with big data analysis with high
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in quantitative analysis and computer programming, preferably using R, MATLAB, or Fortran is a requirement. Demonstrated experience working with large field datasets is a requirement Experience with
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completed by 31.12.2025. It is a condition of employment that the PhD has been awarded. Documented experience and confidence in quantitative analysis and computer programming, preferably using R, MATLAB
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary
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knowledge in Python and/or R programming, and familiarity with deep learning packages Good oral and written presentation skills in English PLEASE NOTE: For detailed information about what the application must
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant