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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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for spatiotemporal data (e.g., CNNs, LSTMs, Transformers, or Graph Neural Networks). Hybrid modeling: Experience with physics-informed machine learning or the integration of ML with data assimilation/multivariate
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28 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 00:00
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would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research
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(m.kalkowski@soton.ac.uk ) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409452/research-fellow-in-… Requirements Additional Information Work Location(s) Number of offers
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are invited to contact Dr Sheida Afshan (s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or
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partners, particularly with the University of Oxford. The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant physical/engineering
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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invariant Natural Killer T (iNKT) cells for precision targeting of AML, an aggressive leukaemia with poor survival outcomes. Building on strong preliminary data, it combines mechanistic and translational