Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- University of London
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Durham University
- Heriot Watt University
- Manchester Metropolitan University
- University of Cambridge
- University of Liverpool
- Imperial College London
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- University of Sheffield
- ; Royal Holloway, University of London
- ; University of Cambridge
- Aston University
- Birmingham City University
- DURHAM UNIVERSITY
- King's College London;
- Nature Careers
- Oxford Brookes University
- Royal College of Art
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- Technical University of Denmark
- University of Bath
- University of Birmingham
- University of Essex;
- University of Hull
- University of Liverpool;
- University of Southern Denmark
- 25 more »
- « less
-
Field
-
economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain
-
crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
-
inclusive benefits to staff, including flexible working, Enhanced Parental Leave, funds for Parents and Carers, and the potential to join community staff networks. About the role You will join a team of
-
understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
-
learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
-
networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
-
access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk ). Only
-
access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk). Only
-
global extinction risks and climate impacts embedded within international wood trade networks, enabling robust attribution of environmental impacts from harvest to consumption. These will be used
-
-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including