Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
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
-
statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera
-
and clinical data using bioinformatics software and methodologies (e.g. R/Bioconductor statistical environment) Previous specialist experience and in-depth specialist understanding of relevant
-
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
-
one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics