19 machine-learning "https:" "https:" "https:" "https:" positions at University of Manchester
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Spiders” awarded to the Computer Science Department of the University of Manchester, see https://www.renaissancephilanthropy.org/learning-to-do-math-with-vampires-and-spiders The formal methods group
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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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We are seeking a Research Associate with expertise in machine learning and causal inference to join the University of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub
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A University of Manchester The University of Manchester enjoys a global reputation for its research and its innovative approach to learning and is one of the largest single-site universities in
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Alexander Neimark (Rutgers University), Dr Mathias Steiner (IBM Research), and Dr Yongqiang Cheng (Oak Ridge National Laboratory). Together, the team integrates molecular and ab initio simulations, machine
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. This is part of a collaborative project aiming to help children with Cerebral Palsy by diagnosing hip problems early. The successful applicant will use machine learning techniques to automatically identify
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/machine learning software development, and even writing software for GPUs or supercomputers. The Person The successful candidate should be able to demonstrate: Currently in the second year of a relevant
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computer, to shaping global policy and advancing health, AI, and sustainability, Manchester is a place where ideas turn into impact. Our culture is one of curiosity, courage, and collaboration. We believe in
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. It focuses on open-hardware architectures for both processor cores and accelerators, and on building full-stack design capabilities for the reliable acceleration of deep learning frameworks from system