359 computer-programmer-"FEMTO-ST"-"FEMTO-ST" positions at University of Sheffield in United Kingdom
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@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place shortly after the closing date. This will consist of a presentation and interview. We plan to let
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Hybrid Multi-Laser Laser Powder Bed Fusion for Next-Generation Metallic Components School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application Deadline: Applications accepted all year round Details About the Project The additive manufacturing...
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application Deadline: Applications accepted all year round Details About the Project The additive manufacturing...
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, DGN Communications, Engagement and Impact Officer, dee.goddard@sheffield.ac.uk Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new
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Neuroscience Institute organise many seminars and workshops that the student can benefit from and contribute to. The University also provides mentoring and career services and runs several active programmes
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Sustainability and resilience of Socio-Technical Systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr G Punzo Application Deadline: Applications accepted all year round Details The increasing complexity of our engineering, social, urban, and ecological...
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical
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that operate with minimal computing, sensing, and actuating resources—essential features for implementation in real-world scenarios. To this end, we will leverage sophisticated mathematical tools such as