Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- ;
- University of Manchester
- ; University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Southampton
- ; University of Surrey
- The University of Manchester
- UNIVERSITY OF VIENNA
- ; University of Birmingham
- ; University of Exeter
- ; University of Oxford
- University of Bristol
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; City St George’s, University of London
- ; Lancaster University
- ; Newcastle University
- ; University of Sheffield
- Abertay University
- Newcastle University
- The University of Manchester;
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; King's College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of Cambridge
- ; University of East Anglia
- ; University of East London
- ; University of Leeds
- ; University of Reading
- ; University of Warwick
- Durham University
- Lancaster University
- Lancaster University;
- Loughborough University;
- Manchester Metropolitan University
- Oxford Brookes University
- Swansea University
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Cambridge
- University of Exeter
- University of Hertfordshire
- University of Liverpool
- University of Oxford
- University of Plymouth
- University of Sheffield
- University of Surrey
- University of Warwick
- 48 more »
- « less
-
Field
-
of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
-
, to discuss the project or if you have any questions. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 bachelor’s degree (or equivalent) in biomechanics, sport science
-
Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Profiling hardware and feasibility of new
-
Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
-
Engineering Department in the Faculty of Environment, Science and Economy and spend most of their time at the Streatham Campus in Exeter. Research on this project will be desk-based and will require programming
-
Engineering, materials science or related subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website
-
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
-
ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
-
this multidisciplinary project, the student will develop expertise in: Direct collaboration with leading medical imaging and materials science partners. Access to Cranfield’s advanced materials characterisation and
-
-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme