Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; Swansea University
- University of Cambridge
- ;
- ; The University of Manchester
- AALTO UNIVERSITY
- ; University of Cambridge
- ; University of Nottingham
- University of Sheffield
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Newcastle
- ; Brunel University London
- ; Lancaster University
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Birmingham
- ; University of Sheffield
- Brunel University
- Lancaster University
- Manchester Metropolitan University
- The University of Edinburgh
- University of Bristol
- University of Manchester
- University of Plymouth
- 16 more »
- « less
-
Field
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility will
-
project description: Inkjet printing allows multiple materials to be 3D-printed simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
-
to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to
-
Technologies for e-governance and civic engagement play a crucial role in supporting and transforming public services and community interactions, with the potential to foster greater citizen
-
(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
, 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. The successful PhD
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
postgraduate students, and interact intellectually with other academic members of the Institute. May contribute to events celebrating the public engagement of science/social sciences/humanities Develop