Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Manchester
- Cranfield University
- University of Nottingham
- University of Cambridge;
- University of East Anglia
- University of Exeter;
- University of Plymouth
- University of Sheffield
- Abertay University
- Loughborough University;
- Newcastle University
- Northeastern University London
- The University of Manchester;
- Ulster University
- University of Dundee;
- University of Essex;
- University of Exeter
- University of Oxford;
- University of Warwick;
- 9 more »
- « less
-
Field
-
a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
-
recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
-
training Skills in process design, optimization, scale-up, and regulatory compliance A realistic, high-probability pathway into an industry career after graduation Applicants should have, or expect
-
transmissions. WP2: Smart Resource Orchestration (Months 12-26): Driven by WP1, this WP will formulate a multi-objective optimization problem to balance latency, throughput, and the flight-related energy
-
objectives of the project by identifying optimal land management solutions to balance food production, greenhouse gas emissions reduction, nature conservation, and economic co-benefits. This will involve
-
Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
-
of Public Health and Primary Care. The post-holder will contribute to the development and application of a simulation model exploring optimal approaches for iron supplementation in blood donors in England
-
, & Buckingham, 2018). Research Aims and Objectives To determine which haptic cues are critical to optimize sensorimotor learning in surgical contexts. To investigate if proprioceptive cues delivered though a
-
. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
-
computationally. This combined analytical and theoretical approach will identify optimal catalyst architectures and substrate classes to achieve highly selective and previously inaccessible catalytic outcomes. In