Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- ;
- Durham University
- University of London
- Aston University
- DURHAM UNIVERSITY
- Heriot Watt University
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Nature Careers
- The Royal Veterinary College, University of London;
- University of Hull
- University of Liverpool
- 4 more »
- « less
-
Field
-
commercial risks to unlock these resources for broader markets. It will combine empirical field studies, numerical and analogue modelling and computational approaches to drive a step change in our ability
-
numerical screens of putative reaction-diffusion circuits, and (iii) studying specific biological systems in close collaboration with experimentalists to guide our models. The successful candidate will join
-
atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
-
Pregnancy. Current risk-communication materials in maternity care are often text-heavy, numerically dense, and disconnected from the lived experiences of women and families. Building on prior epidemiological
-
Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
-
. The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on undertaking both experimental and numerical studies within the hydrogen
-
and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
-
of this position within the team is the experimental work on decontamination of porous materials, although it is also expected that the successful candidate will contribute strongly to the analytical and numerical
-
out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
-
Sciences Institute https://www.dur.ac.uk/bsi/, which act as cross-campus focal points for activity in this area. These also embed strategic links to numerous companies with interests in soft matter