32 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" positions at 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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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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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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, ensuring a positive first impression. Provide information and signpost enquiries to the right services. Accurately maintain records and use computer systems to support daily tasks. Handle card payments and
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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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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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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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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