Location: South Kensington, London, UK
About the role:
The successful candidate will use modern analysis techniques (including AI/ML) to identify donor features associated with good clinical outcome of transplantation.
You will join a team of mathematical immunologists led by Becca Asquith at Imperial College London.
What you would be doing:
Acute myeloid leukemia and acute lymphoblastic leukemia are common, aggressive leukemias. Allogeneic hematopoietic cell transplantation is a potential cure. However, long-term success is limited, and better strategies are desperately needed.
In this project we will analyse a unique donor-recipient data set. We will develop new analysis techniques, such as immunology-inspired ML, and use them, together with a novel hypothesis of donor immune kinetics, to improve donor selection for transplantation.
GOALS:
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