Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Manchester
- ;
- University of Nottingham
- Cranfield University
- Imperial College London
- ; University of Birmingham
- ; University of Reading
- AALTO UNIVERSITY
- University of Cambridge
- ; Cranfield University
- ; Loughborough University
- ; The University of Manchester
- ; University of Bradford
- ; University of Cambridge
- ; University of Leeds
- ; University of Nottingham
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Swansea University
- ; UCL
- ; University of East Anglia
- ; University of Exeter
- ; University of Plymouth
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- Aston University
- Heriot Watt University
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- University of Oxford
- Utrecht University
- 21 more »
- « less
-
Field
-
are <1.5 hr train journey from London and near international airports linking you to the world. Applicants should have a PhD or equivalent professional qualification and experience in microbiology
-
, tailored to the needs and aspirations of the successful applicant. More information on the academic supervisor and EDC collaborations with JLR are available here: https://www-edc.eng.cam.ac.uk/people/nc266
-
Overview: Air quality is a major public health issue worldwide. Two origins are identified for pollutant particles that emanate from passenger cars: those coming from the exhaust (linked
-
sits at the cutting edge of materials science and solid mechanics, using real-world microstructure data to simulate thermo-mechanical behaviour at the grain scale. Your work will form a key part of a
-
An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
-
, especially within the cancer domain. The goal is to identify causally relevant links between tissue morphology and molecular profiles, potentially leading to new biomarkers or therapeutic targets. Objectives
-
Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
system will manage and adjust the way information is used in real time. Cranfield University is a globally recognised postgraduate institution focused on applied research and strong links with industry
-
At present, it is not possible to measure sweating over an extended period of time through a wearable system. Moreover, it is not yet clearly understood how sweating is linked to emotional responses