Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- University of Oxford;
- King's College London
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Liverpool
- Durham University
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Liverpool;
- ;
- Aston University
- Bournemouth University;
- City University London
- Imperial College London
- King's College London;
- Lancaster University
- Nature Careers
- Northumbria University;
- Technical University of Denmark
- The University of Edinburgh;
- University of Bath
- University of Leeds
- University of Leicester
- University of Leicester;
- University of London
- University of Sheffield
- 19 more »
- « less
-
Field
-
involve directed evolution and protein optimisation, applying molecular biology and biophysics. Researchers will be supported to develop skills in the latest AI or machine learning tools for protein design
-
to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
-
performance in heavy industry. You’ll develop and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project
-
to conduct multidisciplinary research around robot learning for autonomous robotic chemists, with a background of excellent research outputs across Robotics and Machine Learning, ideally with a background in
-
and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
-
signal processing schemes using machine learning methods and knowledge of inverse scattering methods (nonlinear Fourier transform). About us: AiPT is one of the world’s leading photonics research centres
-
to develop a holistic e-motor cooling technology, maximising heat transfer through direct-contact, spray cooling. The Team is looking to appoint one Postdoctoral Research Associate on Machine-Learning Assisted
-
, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
-
of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
-
develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will