Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- ;
- University of London
- King's College London
- University of Greenwich
- University College London
- KINGS COLLEGE LONDON
- St George's University of London
- Royal College of Physicians
- ; City, University of London
- Nature Careers
- University of West London
- Westminster Kingsway College
- ; UCL
- Kingston University
- Medical Research Council
- ; Cranfield University
- ; Imperial College London
- ; Northeastern University London
- ; The University of Edinburgh
- Goldsmiths
- UNIVERSITY OF GREENWICH
- University of the Arts London
- 12 more »
- « less
-
Field
-
City, University of London and St George’s University of London seek to appoint an inaugural Executive Dean for the future School of Health and Medical Sciences within the newly merged institution
-
postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
-
a Research Fellow must hold a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology
-
data science methods can create innovative outputs and solve methodological challenges, such as: accurately describing pathways of care and outcomes in linked health care datasets (“big data
-
/(bio-)medical sciences (or an overseas qualification of an equivalent standard). Furthermore, the candidate should be familiar with analysis of time series data using mixed-effects models, this specific
-
and home to nearly 150 academic and professional services staff. Our mission is high-quality medical, healthcare and science education that immerses students in research and practice and prepares them
-
The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it
-
representation of laboratory equipment for bio-medical experiments and generation of experimental protocols. The Appointee will be primarily responsible for (a) developing ‘digital labs’ for the laboratory robotic
-
methods could alleviate this limitation by leveraging large amounts of un-annotated datasets. These techniques remain however largely unexplored in the field of medical video analysis. The School of Science
-
Ref NumberB02-07042Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed