Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- Cranfield University
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- ; Aston University
- ; City, University of London
- ; Coventry University
- ; UCL
- ; University of Birmingham
- ; University of Bradford
- ; University of Warwick
- Bournemouth University
- CRANFIELD UNIVERSITY
- King's College London
- Medical Research Council
- QUEENS UNIVERSITY BELFAST
- University College London
- University of Bristol
- University of Derby
- University of Exeter
- University of Leeds
- University of Nottingham
- University of Oxford
- 14 more »
- « less
-
Field
-
clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Associate
-
conducting high-quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge
-
multidisciplinary team conducting high quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods
-
statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals
-
-create solutions to research challenges across biomedicine and health with a range of stakeholders using techniques from machine learning, artificial intelligence, data science and statistical and
-
. Experience in human factors, with a bias towards cognitive psychology, and experience in experimental design and statistical methods and their application is essential. You will have knowledge of a wide range
-
are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
-
with IDDO statisticians and clinicians to certify the data is in the format required for statistical analyses. It is essential that you hold an undergraduate qualification in a scientific or heath
-
in using a range of statistical techniques and report writing suitable for quantitative psychological science research. Confident presentation skills and the ability to clearly and effectively pass on
-
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