211 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" positions at University of Nottingham
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are emerging as promising alternatives, offering potential benefits in carbon reduction, durability, and ageing resistance. However, widespread adoption is limited by inconsistent performance data, insufficient
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enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages
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more. To find out more about what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to
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, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available
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Studentship Information Supervisor: Vinay Shukla Subject Area: Plant & Crop Science Research Title: Root oxygen dynamics and development Research Description: The student will be part of a
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stakeholders. You will bring first class administrative and IT skills, including strong data manipulation skills and excellent attention to detail. Taking a proactive and flexible approach to managing your
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for generating data for associated research publications and other forms of dissemination. The majority of the analytic work will be stable-isotope tracer-based mass-spectrometry to assess changes in muscle
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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external dashboards, raising purchase orders and processing invoices through the University’s finance system. The role also monitors activity, tracks payments and collates dashboard data to inform decision
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the