Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- KINGS COLLEGE LONDON
- University of Oxford
- Durham University
- King's College London
- University of Oxford;
- ;
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- University of Sussex;
- Cardiff University
- DURHAM UNIVERSITY
- Nature Careers
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge;
- University of Leeds;
- University of Reading;
- University of Sheffield
- University of Surrey;
- CRANFIELD UNIVERSITY
- City University London
- Department for Business and Trade;
- Durham University;
- Imperial College London
- John Innes Centre, Norwich;
- King's College London;
- Swansea University
- Swansea University;
- The University of Edinburgh;
- UCL;
- UNIVERSITY OF READING
- UNIVERSITY OF SOUTHAMPTON
- University of Exeter;
- University of Leicester
- University of Liverpool
- University of London
- University of Nottingham;
- University of Reading
- University of Salford;
- University of Sheffield;
- University of Southampton;
- University of York;
- 33 more »
- « less
-
Field
-
. 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
-
), 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
-
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
-
-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
-
throughout your work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to
-
findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
-
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
-
may be sought in advance of interview but only with the permission of the candidate. Confirmation of your right to live and work in the UK. *Non UK applicants can apply. Where a share code is provided
-
and high-performance computing, with a strong culture of code quality, open and reproducible practices and mentoring. You’ll have access to modern development workflows and HPC resources, with