198 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Department: Campaigns and Alumni Relations Contract type: 12-month contact / Hybrid / Flexible options considered. The Campaigns and Alumni Relations Office (CAR) at the University of Sheffield is
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on trainee assignments. Essential Application/ interview Ability to ensure that all trainees are actively engaged in the learning process. Essential Application/ interview Ability to construct and utilise a
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long-term operational savings—achieved through extended tool life, improved machining efficiency, and the complete elimination of MWF waste—are sufficient to offset the high capital investment and
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EngD: Tool Wear Classification in Industrial Machining via Machine Vision and Process Signal Integration (sponsored by Kennametal)
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix)
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extensive knowledge of Microsoft Office (particularly Excel) and Google applications, and the ability to learn new software. Essential Application/Interview The ability to handle, manipulate and interpret
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis)
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of the art 20,000m² Diamond Building, you’ll be inspired by what we can offer our Engineering students. We have world leading facilities in teaching and learning, with 15 specialist laboratories designed
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attention to detail necessary for managing large datasets, intellectual curiosity about stromal biology and tumour microenvironment, willingness to learn digital pathology, quantitative analysis, and staining
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of the Patients as Educators programme. Contribute to the strategic planning and delivery of further developments in clinical skills teaching, learning and assessment. Prioritise own daily work