Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oxford
- Durham University
- KINGS COLLEGE LONDON
- King's College London
- ;
- University of Oxford;
- UNIVERSITY OF SURREY
- University of Sussex;
- Cardiff University
- DURHAM UNIVERSITY
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Leicester
- University of Nottingham
- University of Surrey;
- CRANFIELD UNIVERSITY
- City University London
- Imperial College London
- Imperial College London;
- John Innes Centre, Norwich;
- Swansea University
- Swansea University;
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- University of Liverpool
- University of London
- University of Nottingham;
- University of Reading
- University of Reading;
- University of Salford;
- University of Sheffield
- University of Sheffield;
- University of Southampton;
- University of Stirling
- 27 more »
- « less
-
Field
-
funding until the 30th of September 2027. The successful applicant will work with our international team of expert researchers to design analysis plans, conduct systematic reviews, design, code and execute
-
. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
-
problem-solving skills are essential, including experience with Pen World Table data, coding, and dynamic general equilibrium models. Excellent communication skills, both written and verbal, and the ability
-
), and colleagues from the NHS. Your primary role will be to prepare data for analysis, including extracting, cleaning, merging, and coding data from clinical records. This is a fantastic opportunity for a
-
data are in the form of codes from standardized coding systems, such as SNOMED-CT. These codes need to be converted to features in some way prior to being used in analysis. One way of doing this is to
-
economics, statistics, or a related quantitative discipline and have strong analytical and coding skills. Experience in evidence synthesis, economic evaluation, or infectious disease research would be
-
of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
-
opportunity to build a strong network with contacts at other universities (Oxford and Bristol) and at Rolls-Royce The opportunity to develop codes that should be deployed and used in practice by Rolls-Royce
-
into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
-
the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries