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experience of finance systems and working within budgets. Demonstrable evidence of computing skills including Microsoft Office (especially Word, Excel, PowerPoint, SharePoint, Teams and OneDrive). Excellent
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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computational arm of a Leverhulme Trust-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and international collaborators
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We are looking for a Data Analyst to join our friendly and supportive HR MIS team within HR. Your main areas of focus will be to support the HR MI & Data Manager: Demonstratable & substantial experience of building complex data sets and dashboards at pace Drive Data Quality and identify areas...
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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at all career stages. Developing, supporting and cultivating our research talent pipeline is a key part of the University of Nottingham’s strategic delivery plan for research. In this role you will help
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-focused service to schools, faculties and departments. You will monitor performance against service standards and KPIs, plan and allocate work effectively, and act as a key escalation point for complex
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possess good computer skills. A health and safety qualification would be an advantage, while strong general technical and problem-solving skills are essential. What we offer A friendly, diverse, and
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device