12 machining-"https:"-"https:"-"https:"-"https:" research jobs at King's College London
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise
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of the Strand campus in the heart of central London. For more information: https://www.kcl.ac.uk/engineering About the role Applications are invited for a position as a Research Assistant in Machine
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology
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Nanopore). In addition, the role will include the collection and processing of DNA samples to create a training data set for age prediction machine learning models. Key responsibilities include: Undertake
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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for translatome analysis Expertise in integrating large-scale multiomic datasets, including machine learning based approaches Excellent written communication skills demonstrated by an outstanding publication track
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an exceptional Computer Scientist, Computational Biologist, AI Researcher, or Data Scientist to join a pioneering interdisciplinary programme that aims to revolutionise our understanding of human physiology and
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computationally intensive field, for example computational social science, computational psychology, or certain areas of digital humanities. 2. Specialist knowledge in NLP or a closely related area of machine