Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- Manchester Metropolitan University
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Birmingham
- Heriot Watt University
- Imperial College London
- University of Cambridge
- King's College London
- ; Queen Mary University of London
- ; University of Oxford
- Birmingham City University
- City University London
- DURHAM UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Swansea University
- UNIVERSITY OF VIENNA
- 9 more »
- « less
-
Field
-
include short sections on the following (1-2 paragraphs each): (a) previous experience in instrumentation development (b) previous hands-on experience of XPS Interviews are scheduled to take place
-
an application, click the 'Apply Now' button below. The deadline for applications to this post is Monday 4th August 2025 at midday. Interviews are scheduled to be held between 21st-22nd August.
-
Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line
-
immediately. The closing date for applications is 12.00 noon on Thursday 7th August, interviews are likely to be scheduled for late August.
-
- Center for Robotics” and is build around a rich schedule of visits to and from ETH. The goal is to further develop our mobile manipulation capabilities, able of physically demanding and dexterous mobile
-
, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
-
EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
-
Responsibilities Develop suitable algorithmic methods for live and real-time analysis of synchronous and asynchronous data. Write research reports and publications. Analyse and interpret the results of own research
-
project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits