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lightweight deep learning model for welding defect recognition. Weld. World. https://doi.org/10.1007/s40194-024-01759-9 J. Franke, F. Heinrich, R.T. Reisch, “Vision based process monitoring in wire arc additive
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flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay
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can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-andbenefits Queen's University is committed to promoting equality of opportunity to all. We
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, Pharmacology and related disciplines and seek to apply this knowledge to technical activities to further enhance the learning experience and/or contribute to the delivery of teaching. 7. Work flexibly as part of
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focus on delivering quality teaching and learning and a campus-wide focus on providing a sector-leading student experience. As a culturally rich university with a deep commitment to the public good
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About the role - The University of Nottingham is launching a new Medicine Curriculum in September 2026 and is in the process of building a new Clinical Teaching Centre and Exam Centre to support Clinical Skills and Simulation education. You will provide specialist technical support in the day to...
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Please note, this vacancy is open to current University of Glasgow employees only Job Purpose This role supports the University in contributing to a student centred and wellbeing focussed learning
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data