Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sheffield
- University of Oxford
- University of Bristol
- University of Manchester
- DURHAM UNIVERSITY
- UNIVERSITY OF VIENNA
- Durham University
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Ulster University
- University of Oxford;
- KINGS COLLEGE LONDON
- Nottingham Trent University
- The University of Manchester;
- University of Cambridge;
- University of Glasgow
- ;
- Aston University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Swansea University
- University of Bristol;
- EMBL-EBI - European Bioinformatics Institute
- Heriot Watt University
- Imperial College London;
- Loughborough University
- Nature Careers
- Regent College London, part of the Regent Group;
- The University of Edinburgh;
- UNIVERSITY OF SURREY
- University of Glasgow;
- AALTO UNIVERSITY
- Arm
- Cardiff University
- King's College London
- Lancaster University
- Liverpool John Moores University;
- MRC Laboratory of Medical Sciences
- Medical Research Council
- Plymouth Marine Laboratory;
- Research England;
- STFC - The Science and Technology Facilities Council;
- Swansea University;
- The University of Manchester
- University of Bath
- University of Birmingham
- University of Exeter;
- University of Newcastle
- University of Nottingham
- University of Reading;
- University of Sheffield;
- University of Strathclyde;
- University of Ulster
- University of Warwick;
- University of West London
- Wenzhou Business College
- 45 more »
- « less
-
Field
-
advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
-
enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and
-
visual inspection. The research will address several challenges: Complex Surfaces: Developing robust algorithms (leveraging Convolutional Neural Networks and Transformers) capable of identifying tiny
-
the opportunity to work with the Numerical Algorithms Group (NAG) on implementing state-of-the-art methods in the NAG Library. There will be opportunities for collaboration with Dr Kirk Soodhalter and
-
on biomedical engineering, biophysics, and brain research. We combine experimental and computational methods and develop algorithms, as well as new technologies to tackle major problems in human well-being and
-
to shape—and create—new forms of AI material—algorithms, interfaces and embodiment—through the pursuit of answers to a complex question: in what ways can we make life better for all with interactive digital
-
for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning and Data
-
of transformer parameters (no-load losses, winding gradient, load losses). Building upon this existing body of work, the proposed research project aims to explore AI models and ML algorithms which are suitable
-
). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. You will have an opportunity to apply the AI/machine learning algorithm to tissue
-
algorithms and libraries. System software stack administration and novel/experimental hardware. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/401493/research-software-e