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Position: PhD position in computational metabolomics
Institution: Eidgenössische Technische Hochschule Zürich
Department: Institute of Molecular Systems Biology (IMSB)
Location: Zürich, Switzerland
Duties: The research group at Campus ETH Hönggerberg investigates cellular metabolism, and is particularly attracted by problems of biomedical relevance and are difficult to address because complex or technically challenging. To tackle such problems, the lab resorts to a large portfolio of methods including cutting-edge mass spectrometry (i.e. metabolomics and 13C flux analysis) and computational biology. The group has a long standing experience in developing such methods and applying them to a broad range of biological systems and questions
Requirements: We are looking for a candidate with a background in computer science, mathematics, statistics, or equivalent. Advanced coding skills (e.g. Python, Java, C) are a prerequisite. Previous experience with machine learning, Bayesian networks, web servicing, or chemometrics are all desirable assets. Apart of these technical skills, the candidate should be genuinely interested in metabolomics and its application, passionate about science, ambitious, creative in thinking, and pragmatic in acting. The student will be embedded in the Zurich Life Science Graduate School and further profit from the courses and network offered by the program
   
Text: The Institute of Molecular Systems Biology (IMSB) is in the Department of Biology at the ETH Zurich. The research groups at IMSB share the same mission: we all work to develop, apply and teach the science of Systems Biology. The laboratory of Dr. Nicola Zamboni invites applications for a PhD position in computational metabolomics The research group at Campus ETH Hönggerberg investigates cellular metabolism, and is particularly attracted by problems of biomedical relevance and are difficult to address because complex or technically challenging. To tackle such problems, the lab resorts to a large portfolio of methods including cutting-edge mass spectrometry (i.e. metabolomics and 13C flux analysis) and computational biology. The group has a long standing experience in developing such methods and applying them to a broad range of biological systems and questions. Over the past years , the group developed a strong program in high-throughput, non-targeted metabolomics. High-throughputs (1000 samples/day or more) enabled performing projects of a previously prohibitive scale. Non-targeted analyses have been improved substantially with the latest generation of high-resolution mass spectrometers. Despite past progress and successes, there is still ample room for further improvements. Expanding on our large body of work on high-throughput workflows, we want to explore innovative avenues for the robust and sensitive analysis of large-scale, non-targeted data. We are looking for a candidate with a background in computer science, mathematics, statistics, or equivalent. Advanced coding skills (e.g. Python, Java, C) are a prerequisite. Previous experience with machine learning, Bayesian networks, web servicing, or chemometrics are all desirable assets. Apart of these technical skills, the candidate should be genuinely interested in metabolomics and its application, passionate about science, ambitious, creative in thinking, and pragmatic in acting. The student will be embedded in the Zurich Life Science Graduate School and further profit from the courses and network offered by the program. We look forward to receiving your online application including a letter of motivation, CV, transcripts and contact details of 2 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information about the institute please visit our website www.imsb.ethz.ch . Apply now
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