Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- The University of Manchester
- University of Cambridge
- ; The University of Edinburgh
- AALTO UNIVERSITY
- Newcastle University
- ; City St George’s, University of London
- ; The University of Manchester
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- Heriot Watt University
- Loughborough University;
- The University of Edinburgh
- University of Sheffield
- ;
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; Swansea University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Southampton
- ; University of Surrey
- Abertay University
- Harper Adams University
- Heriot-Watt University;
- Imperial College London
- Royal Holloway, University of London
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge;
- University of Manchester
- University of Newcastle
- University of Surrey
- 31 more »
- « less
-
Field
-
engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
-
, the University of Nottingham provides the perfect environment to carry out high-impact research that can genuinely shape the UK’s Net Zero future. This is your opportunity to create breakthrough materials
-
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
-
between Home and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme
-
Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research
-
the perfect environment to carry out high-impact research that can genuinely shape the UK’s Net Zero future. This is your opportunity to create breakthrough materials for clean energy technologies and develop
-
interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
-
computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
-
processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
-
platforms, and/or those proposing to use quantitative/computational methods will be given preference. Applicants are also encouraged to think about the societal impact of their research, and for example