View the current fellows in the programme
Are you a talented individual with a PhD in statistics, applied mathematics or computer science? We want to provide you with the environment to further develop your skills to address challenges in areas where we are acknowledged internationally as research leaders: stratified medicine, infections, regenerative medicine and public health.
Fellows will receive relevant training and supervision in at least two of the quantitative skills areas of statistics, computer science and applied mathematics, whilst being part of a team undertaking research in one of the biomedical areas described above.Apply Now
15th & 26th March 2018
21st May 2018
8th & 12th June 2018
June 2018 - March 2019
Approximation Approaches for Efficient Clinical Predictions
High-dimensional data is now routinely collected in many settings, due to the number of different variables being measured on a subject, the number of times a variable is measured and the number of individuals in a study. This data can be used for screening patients to determine their risk of disease, or to classify patients into risk groups... Read More
Big Data approaches to identifying potential sources of emerging pathogens in humans, domesticated animals and crops
Emerging infectious diseases continue to pose major threats to humans, animals and plants. Recent years have seen significant outbreaks of several emerging diseases, ranging from the well-known (Ebola and Olive quick decline syndrome), to the previously little known (Zika), to the entirely novel (Schmallenberg), to name but a few...