Sort by
Refine Your Search
-
Country
-
Employer
- University of Oxford
- University of Oxford;
- University of Liverpool
- King's College London
- Queen Mary University of London;
- Durham University
- University of Cambridge;
- University of Reading;
- DURHAM UNIVERSITY
- Lancaster University
- Liverpool School of Tropical Medicine;
- Plymouth University
- University of Cambridge
- University of Leeds
- University of Liverpool;
- University of New England
- jobs.ac.uk
- 7 more »
- « less
-
Field
-
modules to prove their commercial viability. In addition to actively compensating the turbulence, we also research the statistical theory behind the generation of turbulence and its effect on optical beams
-
geneticists and clinicians to integrate this assay with current genetic markers and clinical practices. A strong command of statistics and multi-centre collaborations is therefore required. Successful
-
hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a
-
. This role may focus on simulations and signal models, dataset curation and statistical package development in support of such searches. They will contribute to LZ operations and performance optimization
-
completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
-
/DPhil in Demography, Sociology, Economics, Statistics, Public/Population Health, Geography, Global Affairs, or a related field, have experience working in reproductive demography and possess sufficient
-
, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as well as proven competence in
-
flow cytometry, qPCR, ELISA, confocal microscopy, immunofluorescence or multiplex cytokine analysis. Experience in the analysis and interpretation of complex biological data. Competence in statistical
-
another relevant quantitative social science discipline, with strong skills in quantitative child poverty research. They will have excellent analytical and statistical skills, strong STATA skills, and
-
for malaria and other neglected tropical diseases. This will be done by developing mathematical and statistical models, to describe the time course of drug concentrations and effect. You will work closely with