63 condition-monitoring-machine-learning Fellowship positions at UNIVERSITY OF SOUTHAMPTON in Uk
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background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated
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United Kingdom Application Deadline 21 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can
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recruitment, testing and monitoring at the children’s sites as required, in accordance with the research protocol and guidelines. They will be undertaking research-related tasks as agreed with the fellowship
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) Country United Kingdom Application Deadline 13 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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(R3) Country United Kingdom Application Deadline 29 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. In support of WorldPop’s programmatic objectives, the postholder will also work to support internal programmatic monitoring and evaluation, developing a new organisational M&E strategy for our country
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your