Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- University of Oxford
- ;
- University of Nottingham
- King's College London
- ; The University of Edinburgh
- ; Trinity College Dublin, The University of Dublin
- John Innes Centre
- Plymouth University
- University of Bath
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Newcastle
- University of Stirling
- 4 more »
- « less
-
Field
-
mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
-
mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
-
among Department of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. The role
-
. physics or applied mathematics). Knowledge & Experience (Essential & Desirable) A strong background in engineering or mathematics (Essential) Expertise in computational modelling (Essential) Working
-
MaThRad will pursue an interactive exploration of foundational, translational, and application-driven research, developing predictive mathematical models with quantifiable accuracy and software
-
View All Vacancies Mathematical Sciences Location: University Park Salary: £30,487 to £37,099 per annum (pro rata if applicable) depending on skills and experience (minimum £33966 with relevant PhD
-
associate (PDRA) with interests and experience in developing mathematical and computational tools for modelling physical processes in porous media, eco-geohydrology, and/or carbon storage; to work in an
-
the globally-distributed tskit-dev team. It is essential that you hold a PhD/ DPhil (or close to completion) in a quantitative science subject, together with experience in mathematical population genetics, in
-
remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
-
of Statistics and the OMI. At the OMI, the postholder will collaborate with faculty members from various departments of the University (e.g., Mathematics, Engineering, and Saïd Business School). We proudly hold a