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
- 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 Exeter
- University of Exeter;
- 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
- 29 more »
- « less
-
Field
-
deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics
-
. Previous experience in computational modelling, air quality or psychology is desirable. The Research Project The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects
-
combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
-
difference between new images captured by drone and the trusted datasets (the datasets that the deep learning model has been trained with and validated by an expert in the design time) to generate
-
industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
-
We are recruiting a PhD student to integrate data-driven methods with NMR spectroscopy to enhance the characterisation of cell culture media and metabolites, increasing throughput and reducing
-
conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
-
) release. Understanding these fundamental processes will pave the way to identify therapeutic targets. This PhD studentship offers a unique opportunity to work within an interdisciplinary collaboration
-
Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
-
Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join