14 condition-monitoring-machine-learning Postdoctoral positions at University of London in United-States
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About the Role We have an opportunity for a Postdoctoral Research Associate in Machine Learning to join PHURI, within the research team of Dr Joseph Taylor working on improving our understanding and
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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/he will be expected to collaborate with other members of the lab and regularly present at lab meetings. In addition, she/he will contribute to routine jobs such as monitoring reagent levels, hood and
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Machine Intelligence and Decision Systems (MInDS) group led by Dr Anthony Constantinou, and the Antennas & Electromagnetics group led by Prof Akram Alomainy. The project is funded by the Defence Science and
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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, Spain and Norway. The project runs until early 2028 and investigates the potential role of performance-based arts in understanding how coastal communities learn about and respond to ecological crises
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, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including
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on aiding the development of precision cut heart slices from pigs to assess the impact of cardio-protective compounds on slices exposed to various conditions. The work forms part of a translational approach
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organ-chip models. These include different combinations of tissues such as synovium, cartilage, bone, meniscus, blood vessels and fat, as well as conditions such as inflammation, osteoarthritis and
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to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation