-
methods to integrate multimodal health data, supporting personalised predictions and decision-making in healthcare. You will work under the direction of the Principal Investigator, Dr Rahman Attar, and
-
methods to integrate multimodal health data, supporting personalised predictions and decision-making in healthcare. You will work under the direction of the Principal Investigator, Dr Rahman Attar, and
-
PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science). Successful
-
Role: Research Fellow in Artificial Intelligence - Future Medicines Institute Department: School of Computing Grade: Grade 8 (£48,822 per annum) Responsible to: Principal Investigator Campus
-
through a relevant PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science
-
health or computer science). Successful applicants will have demonstrated their ability to work independently and efficiently in a research context and will have excellent written English skills with
-
– an online platform making cancer datasets easier to find, access, and reuse in line with FAIR Data principles, working with data scientists at Cancer Research UK and the HDR-UK Health Data Gateway team. As
-
, https://www.ucl.ac.uk/population-health-sciences/choir-lab ) team. The CHOIR team conduct Wellcome Trust funded projects which share the primary aim of leveraging routinely collected clinical data
-
of London into one institution. The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students
-
that are relevant to industry demands while working on research projects in SIT. Job Purpose The primary responsibility of this role is to deliver on an academic research project funded by BCA. The project is in