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
- Manchester Metropolitan University
- Newcastle University
- Northeastern University London
- Swansea University
- Ulster University
- University of Birmingham
- University of Dundee;
- University of Essex;
- University of Exeter
- University of Newcastle
- University of Oxford;
- University of Warwick;
- 11 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
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
-
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
-
to establish improved, AI-enhanced calibration strategies for diverse industrial and geophysical materials. Ultimately, it seeks to determine the optimal, AI-informed approach for selecting and calibrating
-
maps of muscle activity in individuals with CNSLBP across multiple sessions. Specific Objectives - Identify optimal biofeedback practices (movement, dosage, duration) through a scoping review, patient
-
their wings for optimal performance. This PhD project will involve the design, fabrication, experimental validation, aeroelasticity modelling, and control of a small-scale wing prototype with a bio-inspired
-
. 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
-
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