Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; Swansea University
- University of Sheffield
- ; The University of Edinburgh
- University of Nottingham
- ; University of Bristol
- ; University of Warwick
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Sussex
- ; City St George’s, University of London
- ; Lancaster University
- ; Newcastle University
- ; University of Birmingham
- ; University of Nottingham
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Newcastle
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Loughborough University
- ; UCL
- ; University of Cambridge
- ; University of East Anglia
- ; University of Leeds
- ; University of Reading
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Imperial College London
- University of Manchester
- University of Warwick
- 28 more »
- « less
-
Field
-
: 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
-
scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
-
the programme code: 8080F Research area: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A
-
requirements can be found on our Country Specific Entry Requirements page. Candidates with qualifications in mathematics / computer science & a health-related discipline are particularly encouraged to apply
-
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
-
individual able to progress both the mathematical, computational and laboratory aspects of the project to maximum effect. This scholarship covers the full cost of tuition fees and an annual stipend at UKRI
-
suitable to candidates with a wide range of backgrounds such as but are not limited to: climate science, psychology, mathematics, geography, environmental science, law, computer science, public health
-
, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility This studentship is suitable
-
your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
-
Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience