Sort by
Refine Your Search
-
Employer
- University of Oxford
- King's College London
- University of London
- Durham University
- DURHAM UNIVERSITY
- Durham University;
- University of Oxford;
- Queen Mary University of London;
- University of Cambridge;
- University of Liverpool
- ;
- Aston University
- Bournemouth University;
- Edge Hill University
- European University Institute
- Kingston University
- Plymouth University
- The Rosalind Franklin Institute
- UCL
- University of Lincoln
- University of Manchester
- University of Reading;
- University of Sheffield
- 13 more »
- « less
-
Field
-
broad international academic, policy and industrial network. EleComp will provide you with an inspirational and supportive research environment to cross-fertilise ideas and develop new multidisciplinary
-
, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
-
network methods. The posts will focus on classical benchmarking, including Pauli propagation, tensor networks and related numerical methods for simulating smaller systems and comparing them with quantum
-
leading scientific journals. They will work with a high degree of independence, as appropriate seeking input from Prof Edwards and the wider network of collaborators engaged in the Centre for Global Wood
-
, how these trajectories are modified by Alzheimer’s disease genetic risk, and how they influence synaptic and neuronal network health. This is an exceptional opportunity for a motivated postdoctoral
-
technologies. TACT brings together a wide network of academic, industry, and charity partners, including Microsoft Research, Tobii Dynavox, Transport for London, Hidden Disabilities, Aphasia Re-Connect, Dyscover
-
culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering , as well as a number of family friendly policies .
-
the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research
-
and networks, for example eng.ox.ac.uk/women-in-engineering , as well as a number of family friendly policies .
-
science focussed: Newly created processes for T Level placements at Durham University and industry partners Resources and networks created between the project and Further Education college curriculum leads