64 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of London
Sort by
Refine Your Search
-
-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly
-
impacts (including their compound effects) on maternal and child health service use, and identify risk thresholds and drivers of vulnerability. The Research Fellow will also support the development
-
ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
-
developing and testing a groundbreaking device for medical imaging and early cancer detection. The research remit will encompass: medical imaging, AI, device design, prototyping, and pre-clinical evaluation
-
extracellular vesicles. The focus is to define extracellular vesicles in dorsal root ganglia and associate their functions, and compositions, to chronic pain. Subsequent aim is to develop vesicles fortified with
-
postgraduate programmes. The role is mainly student facing and is ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive
-
investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
-
multidisciplinary collaboration between LSHTM, the Met Office, Oxford Brookes University, UCL, University of Exeter and University of Leeds that will inform the development of solutions for temperature-related health
-
and completeness of clinical data used in the tools and dashboards developed as part of this intervention; iterating the tools, training, and engagement activities as the project progresses. The role
-
develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with