Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University;
- University of Cambridge
- University of Nottingham
- ; Brunel University London
- Cranfield University
- Harper Adams University
- Imperial College London
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of East Anglia
- University of Newcastle
- University of Sheffield
- 2 more »
- « less
-
Field
-
Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
-
of Bayesian computational statistics as part of the EPSRC funded ‘PINCODE' project (EP/X028712/1), under the clear guidance of Prof. Murray Pollock and Prof Hongsheng Dai. Work closely with other members
-
algorithms for data processing, assisted or automated flaw detection, 3D EM solvers, and synthetic aperture radar (SAR) focusing will be used to refine spatial resolution. Applicants should have, or expect
-
. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
-
Matthew Jones, Prof R Lewis, Prof D Fletcher, Prof David Curtis Application Deadline: 07 November 2025 Details Are you enthusiastic about digital technology and motivated to build tangible change
-
developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and
-
in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a
-
to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation" (Supervisor: Prof Timothy O'Leary
-
engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
-
VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and