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Field
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team
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) Epidemiology, Bioinformatics or a related field; demonstrated expertise in programming and quantitative data analysis in R/Python; a strong interest in high dimensional omics and exposome research; excellent
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scientific computing or programming (e.g., Python). Knowledge of uncertainty quantification or inverse problems is welcome but not required. You have good verbal and written communication skills. You are
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dynamics analyses). You have solid programming skills, preferably in MATLAB and/or Python. You have a strong affinity for both musculoskeletal modeling and experimental research. You have good understanding
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data, including regression, classification, representation learning (e.g., spectra, micrographs, or time-series), and uncertainty-aware modelling for experiment planning. You are proficient in Python and
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skills in scientific programming and quantitative analysis, preferably in python; affinity with climate science and/or policy modelling; excellent written and verbal communication skills in English
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of statistics and basics of data analysis. Capacity to perform statistical programming, ideally with R or Python (alternatively with SPSS or Stata). Previous experience with designing questionnaires, choice
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after
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in contributing to the study of cryosphere changes; a Master’s degree in (climate) physics, geosciences, meteorology, oceanography, or similar; strong programming skills (Python or similar); affinity