Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- University of Liverpool
- Durham University
- University of Cambridge
- University of London
- ; Northumbria University
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Oxford
- Aston University
- DURHAM UNIVERSITY
- Edge Hill University
- John Innes Centre
- King's College London
- Queens' College Cambridge
- Universidad de Alcalá
- University of Glasgow
- University of Lincoln
- University of Newcastle
- 10 more »
- « less
-
Field
-
, applied mathematics, physics, or computer science. You should have experience in developing and applying statistical methods and in programming. Experience in analysing high-dimensional datasets is highly
-
We invite applications for a Postdoctoral Research Associate to work on an exciting new project to address significant mathematical and engineering challenges arising from multidimensional big data
-
A position exists for a Post-Graduate Research Assistant (PGRA) or Post-Doctoral Research Associate (PDRA) in the Department of Applied Mathematics and Theoretical Physics to work on verified
-
thriving and growing Analysis Group within the School of Mathematics. Your skills and attributes for success: Ability to conduct independent research. Ability to disseminate research outcomes. Collaborative
-
About the role We are excited to advertise a 3-year opportunity to join a large and vibrant research environment as a Research Assistant in Applied Mathematics/Statistics at Northumbria University
-
on delivering high-quality data and mathematical models to inform the response to emerging veterinary parasitic disease threats and the impacts of global change on disease risk worldwide. The research group sits
-
on delivering high-quality data and mathematical models to inform the response to emerging veterinary parasitic disease threats and the impacts of global change on disease risk worldwide. The research group sits
-
-morbidity. This post focuses on developing of mathematical models to analyse population-wide genetic and environmental factors linked to multimorbid clusters and to identify causal paths of disease
-
technical background in mathematics and statistics, including Bayesian modelling is essential. You will also have demonstratable experience in Deep Neural Network based approaches, coding skills in Python and
-
, mathematical modelling, and stochastic molecular dynamics simulations to investigate the physical mechanism of how antibiotic treatments ultimately lead to bacterial cell death. The post-holder will join a