Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- Nature Careers
- DURHAM UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Oxford;
- AALTO UNIVERSITY
- University of Liverpool
- Durham University
- King's College London
- Aston University
- St George's University of London
- LIVERPOOL JOHN MOORES UNIVERSITY
- ;
- Imperial College London
- University of Liverpool;
- University of London
- University of Newcastle
- Aston University;
- Imperial College London;
- Newcastle University;
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF HELSINKI
- University of Cambridge;
- University of Manchester
- University of Nottingham
- University of Reading
- University of Reading;
- Cardiff University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- Georgetown University
- King's College London;
- Queen Mary University of London;
- Queen's University Belfast
- Royal College of Art
- St George's, University of London;
- The University of Manchester;
- University of Birmingham
- University of East London
- University of Glasgow
- University of Glasgow;
- University of Hull;
- University of Lincoln
- VIN UNIVERSITY
- 36 more »
- « less
-
Field
-
inference in engineered systems, including telecom networks; The development of neuromorphic algorithms and spiking neural models with built-in efficiency and reliability guarantees; The design of reliability
-
manufacturer. Based on our publication (ACS Appl Nano Matter 2022, 10.1021/acsanm.2c03406) and our ongoing collaborative work, we have developed a new chemical assay coupled with a machine learning algorithm to
-
characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale. They will also contribute to designing large-scale control and readout multiplexing based on cQED
-
months) Holiday Entitlement: 33 days annual leave plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https
-
” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
-
Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical
-
agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and
-
. Currently, patient selection is insufficiently accuracy, our preliminary modelling work suggest that biomechanics modelling can improve this. You will work with clinicians across Europe to test your algorithm
-
welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also
-
the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside