Sort by
Refine Your Search
-
Employer
- University of Oxford
- University of Oxford;
- UNIVERSITY OF VIENNA
- King's College London
- University of Liverpool
- Queen Mary University of London
- Queen Mary University of London;
- AALTO UNIVERSITY
- Durham University
- Imperial College London
- The University of Edinburgh;
- University of Reading;
- DURHAM UNIVERSITY
- Lancaster University
- Liverpool School of Tropical Medicine;
- Plymouth University
- University of Cambridge;
- University of Dundee;
- University of Leeds
- University of Liverpool;
- jobs.ac.uk
- 11 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
-
flow cytometry, qPCR, ELISA, confocal microscopy, immunofluorescence or multiplex cytokine analysis. Experience in the analysis and interpretation of complex biological data. Competence in statistical
-
/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
-
experimental research methodology, statistics and experiment programming software, as well as excellent knowledge of spoken and written English. Specifically, knowledge on the assessment and analyses
-
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