Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- University of Sheffield
- ; University of Nottingham
- ; University of Birmingham
- University of Cambridge
- ; University of Southampton
- ; Cranfield University
- ; University of Surrey
- AALTO UNIVERSITY
- Newcastle University
- ; Newcastle University
- ; University of Sheffield
- Brunel University
- University of Bristol
- ; Brunel University London
- ; University of Cambridge
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- Harper Adams University
- KINGS COLLEGE LONDON
- The University of Manchester
- ; Aston University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- ; University of Hertfordshire
- ; University of Leeds
- ; University of Plymouth
- ; University of Strathclyde
- Swansea University
- University of Exeter
- University of Manchester
- University of Nottingham;
- University of Warwick
- 33 more »
- « less
-
Field
-
sequencing, bulk and single-cell RNA-seq. These methodologies will be refined and later applied to Welsh genomic resources (SAIL/AWMGS) to identify patient subgroups, uncover disease-driving mechanisms, and
-
Vadim Silberschmidt Name(s) of secondary: Dr Konstantinos Baxevenakis Entry requirements: Subject requirements: First-class or upper second-class degree (or equivalent) in Mechanical Engineering
-
, there is no consensus on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and
-
paramount. Secure and trustworthy AI-electronics focus on embedding security features directly into hardware, such as hardware security primitives and tamper detection mechanisms. This field addresses
-
Research theme: Textiles How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the
-
-class or second-class honours degree in automobile engineering or mechanical engineering or aerospace engineering with a focus on thermofluids or aerodynamics. Funding: To be eligible for these funding
-
, and household appliances. The research aims to apply a novel porous treatment technique to control turbulence generation mechanisms, thereby mitigating aerofoil broadband noise. A key objective is also
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project