Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- ;
- University of Oxford
- University of Glasgow
- KINGS COLLEGE LONDON
- University of Birmingham
- University of Liverpool
- AALTO UNIVERSITY
- City University London
- Heriot Watt University
- King's College London
- University of London
- ; Technical University of Denmark
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- Medical Research Council
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge
- University of Lincoln
- 10 more »
- « less
-
Field
-
the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
-
- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
-
Health, Geography, Global Affairs, or a related field, possess sufficient specialist knowledge in the discipline to work within established research programmes, experience writing computer code in Stata
-
code, and to evaluate their performance on various data sets and applications. To take part in regular meetings, both in-person and online with UK colleagues, and online with US colleagues, and to
-
that requires accurate sub-grid models (e.g., Particle-in-Cell or Vlasov codes) coupled to a hydrodynamic simulation. In general, charged-particle transport is a non-trivial task, not only because of the large
-
completion and will possess a developing research agenda and research profile. Previous experience working with fNIRS and programming skills required for coding experiments and analysing data, or clear
-
characterisation systems, vacuum beamlines, high-pressure gas cells, and optical diagnostics. Our numerical simulations rely on our own open-source code, Luna.jl (https://github.com/LupoLab/Luna.jl ). More details
-
- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
-
experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
-
Trust Career Development award funded research programme “Unlocking the RNA Helicase Code: From Structural Insights to Therapeutic Strategies” led by Dr. Jagtap. The overall project builds upon our novel