-
Applications are invited for three (3) PhD Studentships, based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit. The positions
-
teach you many translatable skills and knowledge from the fields of sleep medicine, sleep physiology, statistics, artificial intelligence, and psychology for example. A very significant and specific
-
, psychology, health economics, statistics, health services research), and with a commitment to conducting excellent and innovative research that will advance care, support and outcomes. Example topic areas
-
, statistics, sleep medicine, and artificial intelligence, for example. A very significant and specific benefit we can offer is the option for to complete a PhD in the 36-months, if you wish . The opportunity
-
-economics. Experience in working with datasets and prior coursework in probability theory and statistics will be helpful, but not necessary to apply for the position. How to apply: Please choose Electrical
-
an early warning system of dementia, to be exploited within existing healthcare pathways to trigger early intervention. Skills acquisition The studentship will provide training in data-analytics, statistics
-
-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
-
in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
-
, applied statistics, biomedical sciences, health services research, or a medical degree with relevant experience, or equivalent professional experience. Demonstrated proficiency in quantitative methods and
-
Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical