Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Cambridge;
- University of Nottingham
- University of East Anglia
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Cambridge
- AALTO UNIVERSITY
- Abertay University
- Biology Centre CAS
- Cranfield University
- Durham University
- King's College London
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Oxford Brookes University
- The University of Manchester
- University of Bath;
- University of Dundee;
- University of Newcastle
- University of Oxford
- University of Plymouth
- University of Sheffield;
- University of Warwick
- 15 more »
- « less
-
Field
-
of posterior curvature. The project will establish optimised OCT acquisition and de-warping methods, build robust segmentation and curvature-analysis algorithms, and validate clinically meaningful shape metrics
-
investigate how algorithmic requirements, This is a full-time, fixed-term position for up to 36 months, with the precise end date subject to confirmation. The role is based in the School of Engineering at
-
novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
-
and algorithmic framework to assess and improve the resilience of FL-enabled autonomous systems under such heterogeneity, explicitly incorporating the human in the loop. The project will draw
-
the nonlinear dynamics of these networks using theory and numerical simulations. - Design and perform table-top robotic experiments that implement your learning algorithms in unpredictable environments. Who
-
genetics to understand the complex relationships between severe mental illness, inflammation, and obesity and other adverse metabolic health outcomes. This research is important as people with severe mental
-
healthy despite being at high genetic risk of dementia? This project will use cutting-edge genetic and molecular data from large human biobanks to identify molecular factors that help protect against
-
-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits. It suits candidates interested in
-
cognition simulation algorithms, benchmark evaluations against direct behaviour-to-label baselines, interpretable markers of cognitive-affective dysfunction, and prototypes for non-invasive mental health
-
sequence the complete DNA of babies at birth to screen for hundreds of genetic conditions. This PhD project will generate the evidence to inform which genes and variants should be included in newborn genome