We have a vacancy for two full-time Research Associates to work within the Computational Cardiovascular Science Team until 31 January 2024. We are looking for highly motivated scientists to conduct research within the Computational Cardiovascular Science Team (www.cs.ox.ac.uk/ccs). We welcome applications both from junior and senior postdoctoral scientists.
Under the supervision of Professor Blanca Rodriguez (Professor of Computational Medicine), you will have responsibility for carrying out impactful research at the interface of cardiology and computational modelling and simulation science, within a research programme on “Human in silico clinical trials in post-myocardial infarction”. You will work in close collaboration with our clinical and industrial partners, and other members of the team. We will support your career development, through supporting your scientific work, and also through attendance to conferences, student supervision and supporting applications for personal fellowships, as appropriate.
Distinct ECG phenotypes identified in hypertrophic cardiomyopathy using machine learning associate with arrhythmic risk markers.
A. Lyon, R. Ariga, A Minchole, M. Mahmod, E. Ormondroyd, P. Laguna, N. de Freitas, S. Neubauer, H. Watkins, Blanca Rodriguez. Doi: 10.3389/fphys.2018.00213. 2018.
In silico evaluation of arrhythmia
X. Zhou, A. Bueno-Orovio, B. Rodriguez. Current Opinion in Physiology. 1: 95–103. Doi: 10.1016/j.cophys.2017.11.003. 2017.