Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- Durham University
- ;
- AALTO UNIVERSITY
- King's College London
- UNIVERSITY OF READING
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Liverpool;
- Aston University
- Birmingham City University
- Heriot Watt University
- King's College London;
- Northumbria University;
- Oxford Brookes University
- The University of Edinburgh;
- University of Cambridge
- University of Exeter
- University of Leeds
- University of London
- University of Reading
- University of Sheffield
- 13 more »
- « less
-
Field
-
to address predictive or inferential questions in ecological systems Essential Application/interview Experience evaluating model performance and generalisability, especially in ecological or health-related
-
subject • Recent experience in research within higher education or applied health • Intermediate level skills in qualitative interviewing, focus group techniques and observation
-
applied health Intermediate level skills in qualitative interviewing, focus group techniques and observation of participants Intermediate-level skills in statistical analysis, including: Data collection and
-
Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
-
high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
-
The Digital Mental Health Group is an innovative and collaborative research group studying the intersection between digital technologies, adolescent mental health and developmental cognitive
-
cognition in children and young people as part of a Wellcome-funded project. The post-holder will work with Dr Sukhvir Wright and colleagues at the Institute of Health and Neurodevelopment (IHN) in the MRC
-
designing and translating technology into the clinical. This role will be supported by the Quality Management Systems team at London Institute for Health Care Engineering who will collaborate closely with
-
for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during
-
on their personal development opportunities. Lots of support for health and wellbeing including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance