Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- University of Sheffield
- Cranfield University
- The University of Manchester
- University of Birmingham
- University of Birmingham;
- University of East Anglia;
- University of Nottingham
- Imperial College London;
- University of East Anglia
- University of Exeter
- The University of Edinburgh
- University of Bristol
- University of Cambridge;
- University of Glasgow
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Swansea University
- The Institute of Cancer Research
- The University of Edinburgh;
- The University of Manchester;
- University of Bradford;
- University of Hull
- University of Nottingham;
- ;
- Brunel University London
- Edinburgh Napier University;
- Imperial College London
- Loughborough University
- Manchester Metropolitan University;
- UCL
- University of Cambridge
- University of Leeds
- University of Liverpool
- University of London
- University of Newcastle
- University of Oxford;
- University of Warwick
- 28 more »
- « less
-
Field
-
of how alternative land management practices impact greenhouse-gas fluxes through the development and application of sophisticated modelling tools. The work will involve model development on the Cambridge
-
; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills
-
based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an
-
Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as
-
applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
-
1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
-
, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
-
-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
-
will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential