Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Oxford
- Cranfield University
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Manchester
- Imperial College London
- AALTO UNIVERSITY
- Durham University
- University of Birmingham
- University of Cambridge
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF VIENNA
- University of Nottingham
- DURHAM UNIVERSITY
- Heriot Watt University
- King's College London
- UNIVERSITY OF SURREY
- University of Bristol
- University of Cambridge;
- Nottingham Trent University
- ; Swansea University
- ; University of Cambridge
- City University London
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of London
- ; University of Exeter
- Cardiff University
- Lancaster University
- Newcastle University
- QUEENS UNIVERSITY BELFAST
- Swansea University
- The University of Manchester
- The University of Southampton
- Ulster University
- University of Surrey
- University of Warwick;
- University of West London
- Wenzhou Business College
- ; Brunel University London
- ; Newcastle University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- Arden University
- Edinburgh Napier University;
- Glyndwr University
- Harper Adams University
- Heriot-Watt University;
- Loughborough University
- Manchester Metropolitan University
- Queen's University Belfast
- The Francis Crick Institute;
- The University of Manchester;
- UCL
- UCL;
- UNIVERSITY OF GREENWICH
- University of Bristol;
- University of East Anglia
- University of Essex;
- University of Greenwich
- University of Leeds
- University of Leicester
- University of Liverpool
- University of Newcastle
- University of Oxford;
- University of Surrey;
- University of the West of England
- 62 more »
- « less
-
Field
-
algorithmic learning.) The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a
-
This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
-
contribute to the design and implementation of state-of-the-art machine learning models for medical applications. Responsibilities include developing and evaluating algorithms in Python, applying large
-
, transcriptomics (bulk, scRNAseq) epigenetic profiling (methylome, Atac-Seq, Chip-seq) and proteomics, using computational methods. Algorithm Development: Designing and implementing algorithms to process, analyse
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows for crafting
-
deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
-
, integrity-aware multi-domain navigation benchmark and associated algorithms, tested in realistic operational environments. The outputs will support standardisation efforts, accelerate cross-domain navigation
-
development. The main tasks will be in photometric light curve analysis and validation (Gaia and PLATO) and data analysis and development of novel scientific algorithms and applications in the areas
-
will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing