61 distributed-algorithm-"Newcastle-University" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- The University of Southampton
- University of Southampton;
- University of Warwick;
- Aston University
- City University London
- Imperial College London
- Nature Careers
- University of Hertfordshire;
- University of Oxford
- Aston University;
- KINGS COLLEGE LONDON
- King's College London
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- Newcastle University;
- Northumbria University;
- Plymouth University
- Queen's University Belfast
- UCL;
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Glasgow
- University of Leeds;
- University of Newcastle
- University of Nottingham;
- University of Salford;
- 19 more »
- « less
-
Field
-
computers”(under the UKRI Guarantee scheme). Topics include: Quantum many-body dynamics Quantum algorithms Quantum-enhanced numerical methods Quantum machine learning Tensor Networks Topological order The
-
transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
-
successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will
-
Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
-
computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
-
. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
-
successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will
-
decoherence dynamics and other effects of quantum-classical correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric
-
work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
-
of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and speech technologies (ASR/TTS) into a unified tactical signal