Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, computer science and engineering. We deliver a wide-ranging portfolio of undergraduate and masters degrees, to around 4,500 students. About the role This is an exciting opportunity to lead and shape
-
the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
-
, Mathematical and Engineering Sciences (NMES), the King’s Institute for Artificial Intelligence works with King’s nine faculties to promote and develop AI expertise at King’s. King’s is also part of the Turing
-
Social Sciences, MA Education in Arts & Cultural Settings and other programmes as required. Their programme leadership responsibilities will initially comprise taking on the role of Deputy Director of
-
or Computer Science. Confident in data analysis, including handling large data sets using relevant software, such as Power BI, Tableau, Python, SQL, SSRS, R, Stata, SPSS, or Excel Able to extract, transform and combine
-
, mental health studies, or related social science discipline or equivalent experience. Knowledge of and interest in research at the intersection of ethnicity and health. Strong experience in qualitative
-
portfolio to produce and update the necessary benefit reporting and programme documentation for internal and external stakeholders, evidencing demonstratable benefits and value for money, through leading
-
sustainable change in society and realising our vision of making the world a better place. At King’s Collage London, the Faculty of Life Sciences & Medicine (FoLSM) is one of the largest and most successful
-
schools under the IoPPN, comprised of the four departments of Psychology: Social, Genetic & Developmental Psychiatry; Health Service & Population Research; and Biostatistics & Health Informatics. With over
-
About us: The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and