Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Imperial College London
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol
- King's College London
- Heriot Watt University
- University of Cambridge
- University of Nottingham
- Durham University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- University of Sheffield
- University of Surrey
- ; King's College London
- City University London
- DURHAM UNIVERSITY
- Glyndwr University
- Kingston University
- Nature Careers
- Oxford Brookes University
- The University of Southampton
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Greenwich
- University of Stirling
- 21 more »
- « less
-
Field
-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
in implementing, testing and validating complex minimisation algorithms that can be used for adaptive trials. Application & interview 8 Experience of collaborating on successful research proposals
-
to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
-
both the algorithms for robot co-design, and the real-world evaluation of the designs that emerge, as well as providing your own research contributions. Your specific role will vary depending on project
-
Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with
-
grant, have worked to identify the sampling algorithm used by the brain, to show how the identified sampling algorithm can systematically generate classic probabilistic reasoning errors in individuals
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full