Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Sheffield
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- University of Nottingham
- University of Bristol
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- The University of Edinburgh
- University of Cambridge
- University of Newcastle
- ; City St George’s, University of London
- ; Lancaster University
- ; University of Sheffield
- KINGS COLLEGE LONDON
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; UCL
- ; University of Birmingham
- ; University of Cambridge
- ; University of East Anglia
- ; University of Leeds
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- AALTO UNIVERSITY
- Lancaster University
- Newcastle University
- UCL
- University of Birmingham
- University of Cambridge;
- University of London
- University of Manchester
- University of Nottingham;
- 35 more »
- « less
-
Field
-
research institutes. Supervisors: Dr. Ashley Fraser, School of Computing and Communications Dr. Jessica Jay, School of Mathematical Sciences Dr. Dan Fretwell, School of Mathematical Sciences Qualifications
-
) in mathematics, computer science or a related discipline. This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear
-
Research Assistant/Associate to undertake work as part of our NU Solve programme. Newcastle University Solve (NU Solve) in the School of Mathematics, Statistics & Physics (MSP) has a track record of
-
: Dr James Yates, Director GSK Aligned programme of study: PhD in Mathematics Mode of study: Full-Time Project description: HIV remains one of the most persistent and challenging infections to cure due
-
are interested in interdisciplinary research across electrical engineering / electromagnetism, numerical methods, numerical mathematics, high-performance computing, and computational science. Time permitting, we
-
, 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
-
degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
-
the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
-
computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
-
science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience