255 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
; 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
-
subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
-
developed verbal and written communication skills with the ability to engage with staff at all levels and to convey complex information clearly and concisely. Proven analytical and problem-solving
-
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
-
with sensitive and confidential information in a professional setting; and customer Service / Experience of responding to enquiries and requests from a range of service users. You will have excellent
-
been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. What next- Further information is available in the role profile
-
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
-
sent directly to this email address will not be accepted. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. #LI-DNI #INT
-
, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
-
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