17 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at The University of Southampton
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Do you enjoy working collaboratively to understand impact and support continuous improvement? We are looking for a Monitoring, Evaluation and Learning (MEL) Manager to join us on a Fixed Term basis
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, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques for generating high-resolution climate projections. In addition to developing
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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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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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history of innovation in what we teach our students – and what they teach us. We have a strong interdisciplinary tradition, reflected in investments such as UKRI Centres for Doctoral Training innovating
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that intersects with emerging fields such as digital tribology, machine learning for predictive wear modelling, sustainable materials, or tribological challenges in clean energy systems and advanced manufacturing
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testing) Design mechanical parts (using SolidWorks or similar), produce via 3D printing or machining Build calibration rigs and other supporting lab setups as needed Test the devices in the lab. Deploy
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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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well as academic staff and other professional services staff. The ability to work with Excel, Outlook and MS Teams as well as learn other systems such as virtual event platforms and CRM will enable you to succeed in