491 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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high-level training at the intersection of materials science, computational mechanics, and data-driven modelling, preparing graduates for careers in nuclear engineering, advanced energy systems, and high
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or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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made up of internal colleagues and external customers with varied skill sets. Essential Online application and interview Ability to analyse and solve problems using novel approaches with an appreciation
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays
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Computational Complexity Theory
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of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and module information in various
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taking bookings (internal and external), capturing all meeting room requirements are stated, and ensuring that all meeting rooms are presentable at all times. Record and report visitor information
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international, interdisciplinary team. Applicants should hold a good honours degree (or equivalent) in computer science, engineering, or a related field, with strong programming skills in Python and familiarity
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committed to cross-team working, contributing to service wide and cross-department planning. You will be integral to ensuring that cross-programme initiatives, such as mentoring and tutoring, are embedded