Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- Queen's University Belfast
- University of Brighton
- University of Nottingham
- CRANFIELD UNIVERSITY
- CRUK Scotland Institute
- Edinburgh Napier University;
- Imperial College London
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- University College London
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Liverpool
- University of Plymouth;
- University of Sheffield
- University of Surrey
- University of Warwick;
- 18 more »
- « less
-
Field
-
advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research experience in epidemiology and statistics
-
about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
-
). Develop innovative specifications of input and output of postprocessing that account for the stochastic nature of precipitation and for systematic location errors in the original forecasts. Apply
-
other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
-
are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and
-
needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
-
range of studies and the methodologies to be used. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets
-
of women in science, mathematics, engineering and technology. We strongly support UCL’s Equalities and Diversity Strategy, and encourage applications to our vacancies from under-represented groups. Customer
-
in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
-
obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure