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design cutting‑edge, privacy‑preserving solutions that enhance independence and dignity for people living with mild dementia? This project develops a new, privacy first approach to reduce wandering risks
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contribute to cutting-edge research on advanced electrode systems designed to overcome key limitations of current ECG technologies. Current ECG electrodes often lose signal quality over time, cause skin
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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biomarker detection simultaneously. This PhD project will focus on (a) Design, simulation and optimisation of FETs to 1.1 THz, (b) Fabrication of optimised Graphene and hexagonal Boron Nitride (hBN) FETs and
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. You will then develop a predictive Machine Learning tool to support engineers in incorporating vegetated systems into design stage decision making. Finally, you will apply Life Cycle Analysis
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are: COMSOL Multiphysics simulations of the design for optimal 2D and 3D electrode system for targeting PC Fabrication and test of the electrode system Development of variable amplitude and frequency control