Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- AALTO UNIVERSITY
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF VIENNA
- DURHAM UNIVERSITY
- King's College London
- Durham University
- The University of Edinburgh;
- University of Cambridge
- University of London
- University of Oxford;
- King's College London;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Swansea University
- UNIVERSITY OF READING
- University of Exeter;
- University of Liverpool
- University of Reading
- Aston University
- Birmingham City University
- Ellison Institute of Technology, Oxford Limited
- Manchester Metropolitan University
- Nature Careers
- Technical University of Denmark
- UCL;
- University of Cambridge;
- University of Glasgow
- University of Glasgow;
- University of Greenwich
- University of Leeds
- University of Nottingham
- University of Reading;
- University of West London
- University of York;
- 27 more »
- « less
-
Field
-
machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
-
, academic integrity, and rigor * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances
-
are applying an integrated approach that combines understanding of pathogen biology and plant immunity to inform the development of climate-resilient crops, using the interaction of bacterial pathogens with
-
for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
-
integrating multi-modal perception and tactile feedback, for locomotion and manipulation. You will be responsible for the design, development, implementation and evaluation of learning-based loco-manipulation
-
full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from hardware-level noise suppression
-
the project will focus on developing a thermal water splitting process based on complex transition metal oxides, and then studying the kinetics of the process to facilitate the design of a reactor to integrate
-
the opportunity to deliver tangible impact by integrating academic innovation with industrial challenges. This is an exciting opportunity for a researcher with expertise in power systems, optimisation, or AI
-
was established in 1831 and has played an integral role in the life of King's since the university was formed almost 200 years ago. King’s has been in service to society since its foundation and we’re proud
-
explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design