131 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at University of Sheffield in United Kingdom
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-CFD methodology by: • Developing advanced models for phase momentum and energy transfer. • Validating predictions against high-quality experimental data (e.g., void fraction and pressure drop
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Assistant will maintain frequent contact with the PIs, liaising with them to ensure efficient and rigorous collection of field data. Applicants must have a BSc or MSc (or equivalent experience) in a relevant
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colleagues and transform complex information into actionable insights that drive strategic business decisions. If you’re a proactive problem-solver, who values curiosity and a collaborative approach to move
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information relevant to the service as and when required. Give demonstrations to others on how to use systems as required. To provide operational support for the planning, organisation, delivery and staffing
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furniture requirements etc, to set deadlines. To set up ancillary rooms for meetings, rehearsals, workshops etc, taking information from the event management database and disseminating to others where
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. Data collection and reporting, including coordinating the work of other researchers where appropriate and following up tasks to completion. Travel to study sites around the UK to undertake study quality
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enforce the 5S and H&S approach to workshop cleanliness and housekeeping. You might have a Higher National Certificate in Mechanical Engineering. The ability to collect machining and manufacturing data, a
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where required. This will include holding the budget for this region and becoming a single point of contact/expert for all stakeholders based in your region. Provide information, advice, and guidance
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duties and responsibilities Act as a first point of contact to provide a range of information and advice on staffing processes and policies, escalating complex queries as needed. Lead the process for
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& Castello, 2024). Applicants will also likely draw upon seminal frameworks to help make sense of the data, such as that of legitimate peripheral participation (Lave & Wenger, 1991), and upon writing on AcLits