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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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in at any time. Background The School of Mathematics welcomes applications for a research fellowship in statistics to work on the UKRI Future Leaders Fellowship project ‘Computational Statistics
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information clearly Knowledge of executive function and/or sleep in either typical development or intellectual disability Proficiency in advanced statistical analysis skills (e.g., structural equation modelling
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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, natural sciences, computing, physics, informatics or computer science and normally, a higher degree in bioinformatics, statistics or machine learning either of eukaryotic hosts or microbiome Basic
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embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
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computational skills are encouraged to apply Demonstrable knowledge of cognitive assessments, psychology, statistics Experience with data collection from elderly populations High level analytical capability
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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data using advanced statistical software, i,e. R or Stata Apply knowledge in a