4 Post-doc Positions in Physics Informed Learning and Deep Leaning in Medical Imaging, University of Leeds, UK
Alejandro F Frangi
Dear colleagues
I’d appreciate it if you could circulate the post-doctoral job announcements below amongst interested candidates. Deadline is Jan 8th 2021. Sorry for cross-posting.
Are you an early-, or mid-career researcher who wants to set the theoretical foundations that solve clinical and industrial problems? Do you have a background in computer vision, medical image computing, machine and deep learning, biomedical engineering or computational multi-physics and multi-scale modelling? Are you willing to take up the challenge to working across disciplines and on real-world data? Are you passionate for combining computational algorithms, modelling and simulation in trailblazing research to create virtual patient populations and deliver in-silico trials in medical devices?
This is an exciting opportunity to join a 10-year programme funded by the Royal Academy of Engineering on Emerging Technologies
Research Fellow in Deep Learning in Medical Image Computing & Modelling (Up to 2 posts) https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1030
Research Fellow in Computational Cardiovascular Flows, Mechanics & Devices (Up to 2 posts) https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1029
Sincerely
Alex
| Prof Alejandro F Frangi, FIEEE, FSPIE, FEAMBES Diamond Jubilee Chair in Computational Medicine Royal Academy Chair in Emerging Technologies NHS Leeds Teaching Hospital Trust Honorary Data Scientist
School of Computing | School of Medicine, University of Leeds, United Kingdom Department of Electrical Engineering | Department of Cardiovascular Sciences, KU Leuven, Belgium
Scientific Director, Leeds Centre for Responsive HealthTech Innovation Director Research & Innovation, LIDA Leeds Institute of Data Analytics The University of Leeds | Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
Director, CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Member, LICAMM Leeds Institute of Cardiovascular and Metabolic Medicine Member, LIFD Leeds Institute of Fluid Dynamics
E: a.fr...@leeds.ac.uk | E: alejandr...@kuleuven.be | W: www.cistib.org/afrangi PA: Gaynor Butterwick | E: cist...@leeds.ac.uk | T: +44 113 34 35489
Computing - EC Stoner Bldg. Rm 8.05, Woodhouse Lane, Leeds LS2 9JT, United Kingdom Medicine - Worsley Bldg. Rm 8.49, Clarendon Way, Leeds LS2 9LU, United Kingdom
www.leeds.ac.uk/healthtech | www.cistib.org
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