Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- King's College London
- KINGS COLLEGE LONDON
- University of Cambridge
- ; University of Exeter
- Durham University
- University of Bath
- University of Bristol
- University of Leicester
- University of London
- University of Newcastle
- University of Nottingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Leicester
- Bangor University
- Cranfield University
- DURHAM UNIVERSITY
- John Innes Centre
- Lancaster University
- Liverpool John Moores University
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Leeds
- University of Lincoln
- University of Liverpool
- University of Northampton
- University of Stirling
- University of Ulster
- 20 more »
- « less
-
Field
-
, integrated, embodied systems, you will co-create, validate, and disseminate a statistical Index of Community Assets (IoCA) to capture aspects of community and belonging in neighbourhoods that are not well
-
the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
-
violent outcomes such as domestic and sexual violence. Your responsibilities will include coordinating and managing the project, overseeing the research database, conducting statistical analyses
-
the project. About the role: You will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine
-
, Nulsen Genome Medicine 2021); prediction of the causal interplay between cancer genes and the immune microenvironment using statistical models (Misetic Genome Medicine 2023); development of a software for
-
-analysis on mammalian play using phylogenetically informed statistical models to test evolutionary theories about the importance of play behaviour. You will have a PhD (awarded or imminent) in a relevant
-
will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer
-
exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
-
to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical
-
) You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience. With