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criteria MSc or research masters in a relevant discipline such as physics, mathematics, computer science, data science or statistics. Experience with C++ and XML programming languages. Image data analysis
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-visible-spectrum reflectance). This project brings together statistical modelling of the data-generating process with machine learning, including deep learning, techniques, to model and predict bumblebee
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communication skills Desirable An MSc in sport and exercise science, sport psychology, psychology, or another related discipline Experience of refereeing in football or sport Other accreditations commensurate
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ability to maintain records and the organisation of data files using Microsoft Excel Excellent written and oral communication skills Desirable An MSc in sport and exercise science or another related
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subject, such as psychology, biology, human genetics ii) an MSc in a relevant subject involving human genetic research or child development research iii) Prior experience working with statistical packages
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subject, including: health economics, decision science, biostatistics, statistics. The candidate must have knowledge of or be willing to learn health economic evaluation. A further qualification such as an
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Behavioural Science subject including Psychology, Cognitive Science or Neuroscience. Related subjects including Physiology, Computer Science and Engineering will be considered. A relevant MSc is desirable but
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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validating joint models for clinical prediction. Applicants should have: Obtained or working towards a 1st class degree in Mathematics (BSc/MMath) or Distinction level Masters in (Bio)Statistics, Data Science
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. Eligibility Candidates must hold an Upper Second Class (2.1) honours degree. Candidates will need an MSc in Statistics/Biostatistics or Epidemiology/Health Data Science (with a strong analytical component) plus