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Field
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Communication Science. "While studying at Radboud University, I was already teaching statistics. It started as just a side job, but I quickly discovered how much I enjoyed helping others learn. After graduating
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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qualifications include a Master's degree in computational biology or a related field. Prior experience with programming, statistics and biomedical research is essential, while experience with machine learning is
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statistics. The successful candidate will be hosted by the Connectivity Section that is part of the CLASSIQUE center. The Head of the Section on Connectivity, Prof. Petar Popovski, is also the Director of
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module I: Basics in quantitative and qualitative methods Compulsory module II: Statistics and econometrics or Advanced methods in qualitative research Compulsory module III: The sociological and economic
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Studies and have performed exceptionally well in their studies. Applicants from related fields (such as Industrial Engineering, Statistics, or quantitative social sciences) may also fulfil the admission
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment outcomes Synthetic data generation (virtual patients) Statistical