132 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at King's College London
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are not limited to: Data-centric AI and ML Large-scale data analytics and intelligent data systems Responsible and trustworthy AI Applied machine learning and multimodal AI Data engineering, MLOps, and
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immunology in human model systems Experience of working in academia and in biotech Expertise in statistics and machine-learning, e.g., scikit-learn, NLTK, k-means, decision trees; and programming Experience
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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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maintain a positive work environment. 5. Strong computer skills (proficient with MS WORD, Excel and web-based applications). 6. Eye for detail and ability to accurately document findings in written
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Health Hub (KHP DHH) training team and provide leadership in the design and delivery of innovative, high-quality learning resources. The role is central to PharosAI’s mission of equipping researchers
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research