Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- Cranfield University
- ; University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Birmingham
- ;
- The University of Manchester;
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Newcastle University
- The University of Edinburgh
- The University of Manchester
- University of Exeter
- University of Sheffield
- ; Aston University
- ; Brunel University London
- ; City St George’s, University of London
- ; St George's, University of London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Reading
- ; University of Strathclyde
- Imperial College London
- Manchester Metropolitan University
- The University of Edinburgh;
- UCL
- University of Birmingham
- University of Cambridge
- University of Manchester
- University of Warwick
- 24 more »
- « less
-
Field
-
collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
-
integrate add-on solutions to overcome specific performance limitations of proposed deep-water solutions. These add-ons may include state-of-the-art devices such as dampers and energy-dissipative load
-
to applicants with published research or exceptional academic performance. Experience in computer vision or audio processing is desirable and will be considered an advantage. A doctoral candidate is expected
-
the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
-
, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
-
PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
state-of-the-art wearable devices. Applicants should have strong experience in data collection in applied settings, advanced statistical analysis skills (particularly in time-series data), and proficiency
-
an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
-
computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
-
computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
-
, distributed ledgers) Desirable: Experience with generative AI (e.g. LLMs) Interest in Human-Computer Interaction Interest in privacy enhancing technologies (PETs) Other: Experience in presenting or preparing