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Applicants are invited for the posts of Postdoctoral Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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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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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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on chemotherapy response score (CRS). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. If successful, you will have an opportunity to apply
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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
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respiratory medicine. Applicants should have a PhD (or nearing completion) in computer science, biomedical engineering, computational medicine, machine learning, or biomedical data science, with a strong
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This is an outstanding opportunity for a Research Associate, with a background in deep learning and medical image analysis, to work within the reirradiation research team under the supervision of Dr
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cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine built by Tom Kilburn and Sir Freddie
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testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling