525 machine-learning-phd "The Art Institutes" Postdoctoral positions in United Kingdom
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wireless communications hardware with researchers from UK who are engaged in the fields of Electronic Engineering, Machine Learning, Food Science, and Agri-Tech. You will simulate, design, assemble and test
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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efficiency and environmental sustainability. Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans
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that exploit Deep Learning structure prediction methods for the benefit of structural biologists. The work, in collaboration with CCP4 partners and building on preliminary data, will develop software to validate
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the risk of many diseases, including developmental disorders and cancer. In this role, you will work on the development of statistical models and machine learning algorithms and their application to large
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that exploit Deep Learning structure prediction methods for the benefit of structural biologists. The work, in collaboration with CCP4 partners and building on preliminary data, will develop software to validate
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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
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: machine learning, applied topology, and/or probability theory. About the School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of
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and esteemed industrial and governmental partners. Your expertise in machine learning, statistical analysis and programming will drive impactful research aimed at solving real-world challenges. Why join