Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Southampton
- ; University of Sussex
- ; University of Warwick
- Abertay University
- University of Newcastle
- ; Brunel University London
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Exeter
- ; University of Nottingham
- ; University of Reading
- AALTO UNIVERSITY
- Harper Adams University
- Newcastle University
- University of Cambridge
- 11 more »
- « less
-
Field
-
quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with biological datasets. Background and work knowledge in statistics, algorithms, optimization of novel
-
or international equivalent in a subject relevant to the proposed PhD project (electrical engineering, electronics engineering or computer engineering). Enthusiasm for research, the ability to think and work
-
sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
-
(i.e. red agents). However, due to a fragmented market, rapid technical developments, and nascent research the extent of capabilities and optimal solution architectures are not well understood. Current
-
, scalability, and adaptability to various applications such as autonomous systems, IoT devices, and wearable technologies. Research Focus Areas: 1- Neuromorphic and AI-Optimized Processors: Design AI-specific
-
reliability and operational efficiency. Determining the optimal size and location of PSTs within a network is inherently complex due to the nonlinear and dynamic nature of power systems, necessitating the use
-
, drugs, antibodies, human lymph system, seconds, days, years). This project is in collaboration with GSK and we will work closely with experts from GSK. The Departments of Mathematics is part of
-
on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
. The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able
-
structures. Extract meaningful physical insights from complex data. Collaborative Research: Work closely with the research team, including Conroy group members, to refine experimental approaches. Engage with