8 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Mathjobs" PhD positions at The University of Manchester
Sort by
Refine Your Search
-
temporal resolution. This project aims to overcome these critical limitations by applying advanced machine learning techniques to denoise and improve spatial resolutions. You will run high-fidelity
-
multiscale optimisation tools for aperiodic lattice metamaterials. The research will integrate physics-based modelling with machine learning to enable the efficient exploration of vast design spaces defined by
-
modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
-
between starting your career or researching for a PhD, we’ll back you to study, teach and earn. This is an excellent opportunity for a highly motivated candidate to deliver outstanding research while
-
backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
-
structures may change with time, where the change can depend on latent factors or variables. These projects will focus on developing a comprehensive Bayesian learning framework for this broad class of problems
-
simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
-
. Yet, the gold standard for intelligence remains biological, and although much is still unknown about the brain, biological learning is believed to rely on fundamentally different, local mechanisms. As