Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- University of Nottingham
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- University of Manchester
- ; Newcastle University
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Southampton
- University of Newcastle
- ; University of Surrey
- AALTO UNIVERSITY
- Trinity College Dublin
- ; City St George’s, University of London
- Imperial College London
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; Edge Hill University
- ; Loughborough University
- ; University of Bristol
- ; University of Cambridge
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- University of Oxford
- ; Lancaster University
- ; University of Greenwich
- ; University of Oxford
- ; University of Sussex
- Abertay University
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Manchester Metropolitan University
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Limerick
- ; University of Plymouth
- ; University of Strathclyde
- ; University of Warwick
- Aston University
- KINGS COLLEGE LONDON
- National Institute for Bioprocessing Research and Training (NIBRT)
- Nature Careers
- Oxford Brookes University;
- The University of Manchester;
- UNIVERSITY OF SOUTHAMPTON
- University College Cork
- University of Bristol;
- University of Liverpool
- University of Nottingham;
- 46 more »
- « less
-
Field
-
to understand these dynamics. This project proposes a novel pipeline of ideas to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses
-
to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
-
spend some time on placements in the industrial partner. We are seeking ambitious, inquisitive and innovative individuals to join our multidisciplinary research team. As part of a dynamic and
-
analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
-
to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
-
accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
-
, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
-
, immunology, molecular biology, or a related field. A master degree (MSc or MRes) in a relevant subject is desirable but not essential. Essential criteria: background in cell biology, immunology, or molecular
-
project will develop a rigorous theoretical framework to ensure both coordinated behaviour and safety in interconnected dynamical systems. You will design and analyse a two-layer control architecture
-
of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and