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Field
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an innovative undergraduate degree in Computer Science with AI. Bristol’s world-class AI research spans applied and theoretical work in intelligent agents, machine learning, machine vision, reasoning, and
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models. Geometric Deep Learning for Structural Synthesis: Leveraging Graph Neural Networks (GNNs) and manifold learning to optimise complex geometries in medical device design and advanced manufacturing
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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programmes. We are especially keen to hear from applicants with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications
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of virtual learning environments such as Moodle Experience of installing, using and administering one or more computer operating systems such as Microsoft Windows, Mac OS and Linux Confident user of Microsoft
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join the MRC/BHF Centre of Research Excellence in Advanced Cardiac Therapies https://www.advancedcardiactherapies.ac.uk/ , co-hosted at the Institute of Developmental and Regenerative Medicine (IDRM
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its staff, ensuring excellence in learning and teaching, research and scholarship. As a member of the University Leadership Group, you will work collaboratively across the University, encouraging and
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning