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, Python, R). Additional Information Benefits At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word
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strong analytical background and experience with software to analyse ecological data (e.g. R, Python) The ability to coordinate and mobilise people (including volunteers) to work towards the project
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background and experience with software to analyse ecological data (e.g. R, Python) The ability to coordinate and mobilise people (including volunteers) to work towards the project objectives It would be
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codes in R or Mplus. You have the ability to work in a structured and organised manner, including good time-management skills. You have excellent interpersonal skills, and the ability to work
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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to political science bachelor and master students; excellent command of quantitative research methods, skills to analyze quantitative data sets in R etc.; excellent oral and written communication skills in
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are - Bioinformatics analysis of proteomics or multi-omics datasets, preferably in cancer research. - ML applications for biomarker discovery and validation, and predictive modeling. - Programming (Python, R, c++ and/or
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and Ribo-seq data. Have experience with downstream data analysis and data visualisation. Are fluent with R and/or python and know how to work in an HPC environment (e.g., slurm). Other programming
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ecological data collection, are familiar with data analysis and statistics, and enjoy programming in R or Python. You have a good command of spoken and written English at C1 level. You like collaborating with
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analysis and statistical evaluation. Proficiency in computational techniques or programming (e.g., MATLAB, R, or Python). Willingness to conduct measurements outside regular office hours or on weekends