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participants from diverse cultural backgrounds (E) Data analysis skills, including the use of quantitative statistical techniques (E) Experience in the interpretation of research data and results (E) Ability
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and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
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and Topology; Analysis; Geometry; Numerical Analysis and Optimization; Probability and Statistics). (c) Production and edition of scientific papers and progress reports on his/her research work. (d
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics