Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Manchester
- Imperial College London
- Nottingham Trent University
- UNIVERSITY OF VIENNA
- University of Cambridge
- Nature Careers
- University of Birmingham
- Cardiff University
- DURHAM UNIVERSITY
- Durham University
- King's College London
- Lancaster University
- Ulster University
- University of Cambridge;
- University of London
- University of West London
- Wenzhou Business College
- ; University of Cambridge
- Arden University
- Aston University
- Heriot Watt University
- Loughborough University
- Manchester Metropolitan University
- Medical Research Council
- The Francis Crick Institute;
- The University of Southampton
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University College London
- University of Bristol
- University of Leicester
- University of Newcastle
- University of Oxford;
- University of the West of England
- 30 more »
- « less
-
Field
-
. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
-
for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
-
apps and software algorithms would be desirable, as would an understanding of major depression and its pharmacological treatments. Diversity Committed to equality and valuing diversity Our active
-
mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
-
systems. Software developed for science can change in unpredictable ways, with algorithms invented and reinvented, and SSCC is flexible and able to adapt to changing needs. SSCC’s software and computing
-
will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
-
, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
-
will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
-
data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs
-
related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and