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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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, 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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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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/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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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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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