123 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Sheffield
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Overview As AI systems scale, their energy consumption is skyrocketing. To tackle this crisis, we need to move beyond traditional computing and look at nanomagnetic devices, which offer unique
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institutions, and shaping the strategic direction for the Global Opportunities programme. The team also contributes widely to the highly rated student and academic experience here at Sheffield, working in close
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Overview The Data Analyst supports the delivery of data activities within a large-scale enterprise transformation programme, including the transition from SAP ECC to new platforms across HR, finance
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mindset of continuous improvement to our processes, policy and approach. You will be an essential part of delivering our Commercialisation Journey , a high-quality programme designed to empower researchers
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programme. Working alongside 6 academic staff in algebraic number theory specializing in the Langlands programme will provide you with a stimulating environment to develop a successful research career. Funds
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implement relevant programme of research. Disseminate research findings/results through the production of papers for high quality journals and presentation either in-house or at national/international
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module and programme leadership, or other roles as required. External Engagement and academic service Pursue involvement in professional activities such as refereeing papers, editing journals, refereeing
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Commercialisation Journey , a high-quality programme designed to empower researchers to explore the commercial potential of their work and potentially create spin-out companies, intellectual property licences
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Overview You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the Cancer Data Driven Detection (CD3) programme. CD3 is a
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support for the University Evidencing Impact Internship Programme. The primary focus of this role is to: Work collaboratively with RPI, faculty and school colleagues who support impact to understand