Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative
-
, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
-
experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
-
project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
-
. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or
-
We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in Artificial Intelligence (AI), to join the Computational Health Informatics (CHI) Laboratory
-
presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
-
applied physics, engineering or applied mathematics) together with experience relevant to the objectives of the projects. You will also have experience with computational modelling of continuum mechanical
-
, potentially through a planned master's program or a pre-doctoral fellowship, specialising in the area of statistics and/or health economics. You will be based in the Medical Statistics Team, Nuffield Department
-
The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. Headed by Professor Keith Channon, RDM is a multi-disciplinary