ETH Zurich
PostDoc position: Cardiovascular Risk Analysis with Machine Learning Algorithms
ETH Zurich
ETH Zurich is one of the leading international universities for technology and the natural sciences. It is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.
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DETAILS
Gepubliceerd: 1 maand geleden
Sluitingsdatum: Onbepaald
Locatie: Zurich, Zwitserland
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PostDoc position: Cardiovascular Risk Analysis with Machine Learning Algorithms

The Bioimaging group of the Institute for Biomedical Engineering at the University and ETH Zurich develops Magnetic Resonance technology and methods to assess the cardiovascular system in health and disease. As part of our efforts to quantify and predict cardiovascular conditions we are seeking to fill a
PostDoc position: Cardiovascular Risk Analysis with Machine Learning Algorithms
The research project is a joint effort of the University Hospital Lausanne, the ETH Zurich, and GyroTools LLC Zurich to develop and deploy non-invasive Magnetic Resonance (MR) imaging, quantification, and risk analysis of myocardial scar for diagnostic and prognostic purposes. The focus of the work is on scar segmentation, scar pattern analysis and data assimilation approaches eventually feeding into deep learning networks for classification.
The University and ETH Zurich offer an international and world-leading research setting with first class infrastructure including the full range of clinical and experimental Magnetic Resonance systems as well as an excellent network of scientific and industrial partners. Also, the University Hospital Lausanne is a well recognized center for CMR research, with world-wide connections and access to large patient data sets.
The candidate holds a Master of Science degree in computer science, electrical engineering, biomedical engineering, mechanical engineering or physics with first class grades. He/she should present with a keen interest in segmentation algorithms, image processing and advanced visualization, machine learning and applications of cutting-edge imaging technology. Very good programming skills (C++ and Matlab/Python) and interest in both theoretical and practical work are a premise. An innovative spirit and team player skills round off the profile.
We look Forward to receiving your online application including a cover letter, a detailed CV, study subjects including grades and contact information of two referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Should you run into difficulties when submitting your application please send an email to recruitingsupport@ethz.ch for advice.

For further information about the group please visit our website www.cmr.ethz.ch. Questions regarding the position should be directed to Prof Dr Sebastian Kozerke by e-mail: kozerke@biomed.ee.ethz.ch (no applications) or Prof Dr Juerg Schwitter, University Hospital Lausanne, jurg.schwitter@chuv.ch (no applications).

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