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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models
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microfluidics, proteomics and/or image data analysis (e.g. using Python or R). 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
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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised
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of applied mathematical modelling, in particular numerical solution of partial differential equations Experience with one or more relevant programming languages/tools (Python, C, Matlab, OpenFOAM etc.) PLEASE
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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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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab