Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
components for real-time signal transmission. The design will include: Implantable antenna design: Developing a dual band antenna for efficient wireless communication and power transmission simultaneously
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
in wireless systems and powering, antenna/microwave engineering, RF design, or implantable device technologies. Demonstrate experience with electromagnetic simulation tools (e.g., HFSS, CST, COMSOL
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
. The ML will use 500,000 fundus images from open-source and customised retinopathy datasets. We will compare retinopathy grading accuracy by NHS clinician vs ML algorithm. This will build on Exeter’s
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
: Algorithm Validation and Use Case Demonstration (Months 27–36): This WP will first develop an integrated hardware–software testbed to systematically validate the performance of proposed solutions under
-
expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
-
Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision