Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- University of Cambridge
- University of Manchester
- ; Swansea University
- ; University of Birmingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Reading
- ; Newcastle University
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- University of Sheffield
- ; University of Exeter
- University of Oxford
- ; The University of Edinburgh
- Harper Adams University
- ; Cranfield University
- University of Newcastle
- ; Loughborough University
- ; University of Sheffield
- Imperial College London
- UNIVERSITY OF VIENNA
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- AALTO UNIVERSITY
- ; University of Leeds
- University of Warwick
- ; Brunel University London
- ; City St George’s, University of London
- ; Edge Hill University
- ; King's College London
- ; Manchester Metropolitan University
- ; University of East Anglia
- ; University of Plymouth
- Abertay University
- Heriot Watt University
- University of Bristol;
- University of Liverpool
- ; Aston University
- ; University of Bradford
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Sussex
- Newcastle University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; UWE, Bristol
- ; University of East London
- ; University of Huddersfield
- ; University of Hull
- ; University of Strathclyde
- Aston University
- Brunel University
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Manchester Metropolitan University;
- Nature Careers
- Oxford Brookes University;
- Swansea University;
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge;
- University of Exeter;
- University of Glasgow
- University of Leicester
- University of Nottingham;
- University of Warwick;
- 67 more »
- « less
-
Field
-
friendly team of interdisciplinary researchers at the Centre of Global Health Law to work across two of our flagship projects on digital health data. This is also an excellent opportunity for you to develop
-
markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
-
January 2026 ** (Please see the note below regarding potential later start dates.) Supervisors: Primary Supervisor: Professor Gibin Powathil Secondary Supervisor: Professor Mark Jones Additional Supervisor
-
scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with
-
grow Newcastle University's strategic partnership with Procter & Gamble (P&G) a world leader in consumer products with global markets and impact. A variety of synthetic and naturally derived polymers
-
, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
-
to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
-
seeking a full-time Research Assistant (“pre-doc”) to work closely with Dr. Misato Sato and Dr. Aurélien Saussay on several research projects at the intersection of environmental economics and labour
-
, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
-
to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By