Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- University of Birmingham
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- KINGS COLLEGE LONDON
- King's College London
- University of Sheffield
- ; Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- University of Leeds
- University of Stirling
- University of Surrey
- Birmingham City University
- Brunel University
- CRANFIELD UNIVERSITY
- Cardiff University
- Manchester Metropolitan University
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Bristol
- University of Glasgow
- University of Liverpool
- University of Newcastle
- 19 more »
- « less
-
Field
-
obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
-
local trust and consensus About the person: To be considered for interview, applicants must demonstrate that they meet the essential criteria for the post, which includes: Have or about to obtain a PhD in
-
technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
-
meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
-
the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing the domain of Edge Computing for 6G Networks. Holding a PhD (or have submitted your thesis
-
funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
-
project ‘The Cerebra Network’, funded by Cerebra. The Research Fellow will be split 50/50 between the two projects for the first three years (overall 1.0 fte), and then work solely on the Cerebra Network
-
funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
-
of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
-
of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports