682 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Sheffield
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sections, editing and proofreading. Oversee the effective maintenance of information and documentation for the Grants Team, tracking grant applications and outcomes, creating internal resources on funding
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(to be investigated) and analyse the prospective outcome after having "trained" the model with current data. In view of the outcome, there will be the possibility of proposing key decisions
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Computer Vision for manufacturing applications, such as automated inspection and component validation. Housed within The AMRC’s innovative Factory 2050, the team has grown organically over the last seven
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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weekends to carry out cell culture and time-critical experiments, ensuring the continuity and integrity of long-term research projects. Evaluate scientific data from immunocytochemistry, flow cytometry, and
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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deadlines Desirable Application Experience in Exams Preparation (e.g Cambridge English and IELTS) Desirable Application Further Information Grade 7 Salary £38,784 to £41,064 Work arrangement Full-time
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to internal and external stakeholders, supporting data-driven decision-making. Stay abreast of the latest developments in relevant technologies, methodologies, and best practices, applying new knowledge
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flowering plants. Collaborate closely with project partners across the Universities of Sheffield, Edinburgh and Oxford to ensure effective data sharing, analysis coordination, and synthesis of results. Take a
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Organise and conduct meetings with key colleagues, including academic members of staff, and students across the University Use data and insight, gathered from sources such as Google Analytics and user