185 virtualization-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
About the role This is an exciting opportunity to join a Urology Foundation funded research project investigating the mechanisms underlying Candida urinary tract infections (UTIs) and evaluating
-
assay for DLB. This work has the potential to advance earlier and more accurate diagnosis of one of the most challenging neurodegenerative diseases. The postholder will lead the generation and analysis
-
motivated Research Associate/Fellow in Electrical Machines to join the University of Nottingham's Power Electronics, Machines and Control (PEMC) group — one of the UK's largest and most ambitious research
-
INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. About the role You will join the established School of Medicine Academic Unit Administration Team and be
-
About the role: This role supports a new research project seeking to understand what people think about neuromodulation (non-invasive brain stimulation) treatments for the mental health condition
-
About the role We’re looking for a Deputy Director of Development to help lead a recently transformed team, united by a strong sense of purpose and momentum. You’ll have real scope: you'll take
-
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 This is a full-time post (36.25 hours per week) based in
-
About the role We’re looking for a Deputy Director of Alumni Engagement to help lead a recently transformed team, united by a strong sense of purpose and momentum. You'll have real autonomy here
-
About the role We are seeking an experienced and analytical professional to join our team as an Occupational Health Operational Lead. Reporting to the Occupational Health Manager, you will be
-
About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding