This is an interdisciplinary Post-Doc position funded by a 3-year grant from the Personalised Health and Related Technologies (PHRT) program. You will work in the group of Prof Iber (ETH, computational biology), and collaborate with Prof Ulbrich (ETH, animal physiology), and Prof De Geyter (University Hospital Basel, reproductive medicine).
The goal of the project is to develop computational personalized medicine approaches to improve the success rate of in vitro fertilization (IVF) using human and farm animal data. Given our detailed understanding of ovarian follicle maturation, personalized medicine approaches can go beyond statistical correlation and can be based on a mechanistic understanding of the hormonal control of ovarian follicle maturation.
You will focus on the development of predictive mathematical models that integrate literature data and newly generated data from farm animals and patients (3D images, hormone levels, gene expression time series) into a consistent framework that will allow us to provide data- and model-driven guidance regarding the best IVF treatment schedule. In collaboration with a PHRT-funded PhD student, the mathematical model will be carefully tested in clinical settings and then integrated into software for clinical use.
The preferred starting date is October 2022; the exact starting date can be negotiated.
Please apply via our online application portal: https://www.jobs.ethz.ch/job/view/JOPG_ethz_iU0C4kQJU5gfL69FCh.
Further information about the group can be found on our website: https://bsse.ethz.ch/cobi. Questions regarding the position should be directed to Prof Iber by e-mail: email@example.com (no applications).
Copyright © 2019 ESMTB - European Society for Mathematical and Theoretical Biology. All Rights Reserved