Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of Warwick
- University of Nottingham
- ; The University of Manchester
- ; University of Sheffield
- ; Loughborough University
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- ; University of Sussex
- ; University of Bristol
- ; University of Southampton
- ; University of Surrey
- Swansea University
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Leeds
- ; University of Reading
- Newcastle University
- University of Cambridge
- ; Anglia Ruskin University
- ; London South Bank University
- ; Manchester Metropolitan University
- ; UCL
- ; University of Cambridge
- ; University of Essex
- ; University of Hull
- Abertay University
- Aston University
- Ulster University
- University of Manchester
- University of Newcastle
- University of Warwick
- 25 more »
- « less
-
Field
-
at the University of Bristol . The School of Mathematics has been ranked 4th in the UK for Mathematical Sciences Research (REF 2021), 10th nationally for teaching in the 2024 Complete University Guide. 98% of our
-
background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
-
studies in the Julia programming language. The successful candidate should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and
-
degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
-
, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance
-
Sciences, and Mathematics. Experimental experience in fluid dynamics and/or knowledge of any CFD codes would be an advantage, but not required as full training will be given. How to apply: Candidates should
-
in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
-
degree, in a subject related to Computer Science, Mathematics, etc. You will be required to attend a zoom interview for acceptance. Interviews are planned for w/c 9 June 2025. How to Apply Applicants
-
should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
-
% of our research impact has been classed ‘outstanding’ or ‘very considerable’ (Research Excellence Framework 2021, combining 4* and 3* submissions – Mathematical Sciences). When you start a PhD in