Sort by
Refine Your Search
-
Listed
-
Employer
- University of Liverpool
- University of London
- DURHAM UNIVERSITY
- University of Liverpool;
- University of Oxford
- AALTO UNIVERSITY
- Durham University;
- KINGS COLLEGE LONDON
- Queen Mary University of London;
- Durham University
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Plymouth University
- University of Cambridge;
- University of Glasgow;
- University of Oxford;
- 7 more »
- « less
-
Field
-
equipment, electronics and sensor integration, and working effectively within multidisciplinary teams. Experience with mobile manipulator robots, Linux, ROS/ROS2, algorithm design, and laboratory automation
-
Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
-
capable of supporting and collaborating with humans in complex, real-world settings. You will be responsible for researching and developing novel algorithms and techniques to achieve the project’s
-
on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
-
, including deconvolution algorithms to determine tissue-of-origin signals and gene expression patterns from cfDNA. Additionally, the role provides opportunities to participate in ongoing cfDNA bioinformatics
-
of statistical algorithms. Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, and computation as appropriate; writing up results
-
solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
-
to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders
-
learning models to accelerate mixed-integer solvers Implementing and analysing online optimisation algorithms for real-time grid balancing Liaising with project partners (NESO and University of Strathclyde
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning