Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Nottingham
- University of Liverpool
- ; University of Southampton
- Cranfield University
- ; Cranfield University
- ; University of Nottingham
- Nature Careers
- ; University of Birmingham
- ; University of Sussex
- Nottingham Trent University
- Swansea University
- ; City, University of London
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; UCL
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Sheffield
- ; University of Warwick
- Aston University
- Durham University
- The Open University
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University College London
- University of Bristol
- University of Cambridge
- University of Exeter
- University of Greenwich
- University of Westminster
- 28 more »
- « less
-
Field
-
ensure that all aspects of the design and integration process are captured including integration with cooling and thermal management system, physical integration and installation, selection of materials
-
motivated and have an advanced degree (Ph.D.) in computer science, electrical or biomedical engineering, physics, statistics, or related fields. Previous experience in software development practices (version
-
both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
-
, maths or physics or any other relevant topic. An MSc or relevant work experience will be beneficial. Knowledge of design and systems engineering methodologies will also be beneficial along with knowledge
-
Deniz Gunduz - [email protected] . Queries regarding the application process should go to Ms Joan O’Brien at [email protected] . For technical issues when applying online please email
-
, to develop a deeper understanding of the nature of these compositions and the practices of the composers, and to establish the foundation of a new archive of digital and physical materials along with a
-
application process may be directed to: [email protected] . To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment
-
Responsibilities: Handling original research papers and working closely with other editors on all aspects of the editorial process, including manuscript selection and overseeing peer review. Making well-reasoned
-
will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
-
laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be