338 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at University of Nottingham in United Kingdom
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and supports learning, leading to excellence in the student experience. A candidate brief is provided with information about the Educator Academy. Please contact Sue Morrison, Director for ESE
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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and reporting, and contribute to strategic decision‑making through high‑quality data and analysis. Working closely with academics, Faculty Operations, and central Research & Innovation teams, you will
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in advanced experimental techniques, data analysis, and interdisciplinary problem solving at the interface of physics, materials science, and device-relevant functionality. Outcomes will include high
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personal data in your application, until shortlisting has been completed. All appointments are made on merit. Further information is available in the role profile. To apply for this vacancy please click
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data
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; experience of working within a large organisation with some accountability to stakeholders; considerable administrative experience; data analysis and reporting experience; and knowledge of GDPR. You will have
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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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strategy to improve the turbulence detection and quantification. The flow turbulence and velocity in a vascular flow phantom will be measured by Particle Image Velocimetry (PIV), against which MRI data will
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support a more controlled, data-informed manufacturing environment and improve structural performance across the full lifecycle of high-value engineered components. Aim The student will have opportunities