Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- ;
- The University of Manchester
- University of Sheffield
- Swansea University
- The University of Edinburgh
- University of Cambridge;
- The University of Manchester;
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of East Anglia;
- Imperial College London;
- University of Warwick
- The University of Edinburgh;
- University of Exeter;
- University of Nottingham
- University of Oxford;
- University of Warwick;
- Edinburgh Napier University;
- European Magnetism Association EMA
- King's College London
- Loughborough University
- Royal College of Art
- The Institute of Cancer Research
- UNIVERSITY OF VIENNA
- University of Bradford;
- University of Bristol;
- University of Exeter
- University of Glasgow
- University of Hull
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- Brunel University London
- Edinburgh Napier University
- Imperial College London
- Lancaster University
- Liverpool John Moores University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University;
- The Open University;
- UCL
- UWE, Bristol;
- University of Bristol
- University of Cambridge
- University of Leeds
- University of London
- University of Manchester
- University of Newcastle
- University of Surrey
- University of Surrey;
- 44 more »
- « less
-
Field
-
. Project proposals should assume utilisation of data from Crowdcube, Seedrs, and firm-level sources such as Companies House and Beauhurst, and consider use of natural language processing, computer vision
-
of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve
-
PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
-
programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
-
The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
-
, including certificate time validity, can be found here. Specific Requirements Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline
-
engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
-
Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools
-
computer science, mathematics, or related disciplines. The position will be fully funded, and the successful applicant will receive an annual stipend in line with current Research Councils UK rates for 3.5 years
-
background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary