Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- King's College London
- University of Newcastle
- University of London
- ; University of Southampton
- University of Glasgow
- University of Oxford
- ; University of Exeter
- ; University of Leeds
- ; University of Salford
- Durham University
- Sheffield Hallam University
- The University of Southampton
- University College London
- University of Aberdeen
- University of Greenwich
- University of Leeds
- University of Liverpool
- University of Northampton
- University of Nottingham
- 10 more »
- « less
-
Field
-
for an enthusiastic and highly motivated Research Associate or Research Assistant in Medical Statistics to join an interdisciplinary team focused on improving lives through world-class research in ageing, sarcopenia
-
Statistics Location: Highfield Campus Salary: £44,263 to £56,021 per annum Full Time Permanent Closing Date: Friday 26 July 2024 Interview Date: To be confirmed Reference: 2767424PJ We are seeking
-
and enthusiastic researcher to develop their career in statistical epidemiology within the internationally leading Department of Statistics in the University of Oxford at a critical time for this field
-
. This is complex work – but is also deeply engaging and stimulating. The data and statistics we publish on GCSEs, AS/A levels, and vocational and technical qualifications provides the education system and
-
field, together with pre- and/or postdoctoral research experience. Specialist knowledge in CRISPR technology, together with a good knowledge of statistics, bioinformatics and R programming is essential
-
effective and positive working relationships with staff and students, plus deal with issues sensitively and confidentially. Your strong numerical and statistical abilities will be put to use in analysis and
-
should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
-
better statistical methods to quantify the impact of neighbour noise on health and wellbeing. This project will use a mixed-methods approach, combining quantitative data collection with qualitative
-
staff, agents and school counsellors in a recruitment environment Experience of managing advanced digital marketing campaigns, with a strong focus on ROI and statistical evaluation Educated to degree
-
-disciplinary team? Are you an enthusiastic, driven postgraduate with a major statistical qualification? The Clinical Trials Research Unit within the Leeds Institute of Clinical Trials Research (LICTR) is an