Sort by
Refine Your Search
-
About the Role Applications are invited to for the post of Clinical Learning Facilitator, for which five posts are available. This is a career development post at ST level to help teach and
-
the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine
-
View All Vacancies Directorate of Learning and Wellbeing Location: Camden (Kings Cross, London) / Hawkshead (nr Potters Bar, Herts) Salary: £65,823 to £75,631 Per Annum Including London Weighting
-
About the Role The Assistant Director, Enterprise Systems and Technology Enhanced Learning is a senior leadership role within IT Services. Reporting to the Chief Information Officer, you will lead
-
, machine learning, data pre-processing, fusion, etc.). This will require engagement with sector and subject matter specialists at all levels of employment to understand the current industry practice and
-
-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
-
traits, Kidney function, metabolic syndrome and other Non-Communicable diseases, fine-mapping, machine learning, genetic risk score analysis and Mendelian Randomisation studies. The candidate must hold a
-
Practice Research Datalink. The post-holder must have a first degree in a field relevant to data science along with relevant experience in machine learning, particularly natural language processing methods
-
The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many
-
exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics