-
machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
-
projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
-
genetics consortia. To be considered for the role you will hold, or be close to completion of, a PhD/DPhil in in epidemiology, genetic epidemiology, molecular epidemiology, medical statistics or other
-
genetic causes of neurological disorders and aim to develop therapies for such conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Enhancers play a pivotal
-
of spray droplets by the action of wind over ocean waves (i.e. spume). In this role, you will develop numerical, experimental, and (ideally) theoretical models within the topic of surfactant-laden droplet
-
candidate will design, pilot, and implement a large-scale survey on human rights consciousness, ensuring methodological rigour. Adapt existing and develop new research methodologies to enhance the project's
-
at external meetings and seminars. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, data science, statistics, computer science or a related discipline. You will possess
-
addition, you develop state of the art predictive modelling based on deep generative models to predict patient outcomes under different exposures. It is essential that you hold a PhD/DPhil in Statistics