Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- ;
- Nature Careers
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- CRANFIELD UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- ; University of Cambridge
- ; University of Southern Denmark
- Cardiff University
- Cranfield University
- Imperial College London
- Oxford Brookes University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Cambridge;
- University of Leeds
- University of Liverpool
- University of London
- University of Newcastle
- University of Sheffield
- University of Stirling
- 17 more »
- « less
-
Field
-
pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics. This position aims to advance the next generation of battery modelling and control strategies by combining
-
life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
-
of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team
-
Postdoctoral Research Fellow position is available within the Seed Revolution Lab in the School of Biosciences at the University of Birmingham. The Research Fellow will work as part of the Royal Society-funded
-
the final stages of PhD submission Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals Evidence of data presentation at scientific meetings Excellent
-
. • Support supervision and mentoring of PhD and MSc students. • Engage in knowledge exchange, contributing to grant writing and collaborative partnerships both internally and externally. You should have
-
interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
-
Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
-
PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
-
for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and