Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Sheffield
- ; University of Warwick
- University of Nottingham
- University of Sheffield
- ; University of Bristol
- ; Swansea University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Nottingham
- ; University of Surrey
- ; Cranfield University
- ; Loughborough University
- ; University of Exeter
- ; University of Oxford
- ; University of Sussex
- ; Lancaster University
- ; University of East Anglia
- ; University of Reading
- ; University of Southampton
- University of Cambridge
- University of Manchester
- University of Newcastle
- University of Warwick
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Cambridge
- ; University of Essex
- ; University of Leeds
- Imperial College London
- Liverpool John Moores University
- UNIVERSITY OF VIENNA
- 25 more »
- « less
-
Field
-
from physical sciences, life sciences, mathematics, statistics, and engineering. HetSys specializes in applying advanced mathematical methods to tackle complex, real-world problems across a variety of
-
, mathematics, statistics and engineering backgrounds who are passionate about applying their mathematical expertise to tackle complex, real-world problems. By fostering these skills, HetSys trains the next
-
involve collaboration with our industrial partners. Projects provide a unique research and training experience and an exciting opportunity for you to develop mathematical innovation inspired by contemporary
-
second class UK honours degree or equivalent in a related discipline, such as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, reporting
-
manufacturing (year 1) - Advanced Composites manufacturing using energy absorbing fibres and nanomaterials (year 1) - Analytical/mathematical modelling and FEA modelling of hyper-velocity impact test of
-
equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science/engineering, applied physics/mathematics, or related fields. Prior experience
-
Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services represent a
-
A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
-
wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and
-
wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and