Job ID: 2705
Job date: 2015-02-09
End Date:
Company : Dept. of Biosystems Science and Engineering Country : Role : Student
Job date: 2015-02-09
End Date:
Company : Dept. of Biosystems Science and Engineering Country : Role : Student
Job Description:
The open position is in the emerging field of personalized medicine. It involves the development and application of computational, statistical, and machine learning methods for analyzing and integrating clinical with viral and host genomic data. Our goal is to predict HIV treatment outcome and to improve therapeutic strategies. The project will be carried out together with IBM Research Zurich and is part of a larger collaborative effort among clinicians, virologists, and computational biologists in Switzerland funded by SystemsX.ch.
Successful applicants have a strong background in computational biology, mathematics, statistics, computer science, physics, or a related field, and exposure to modeling biological systems. Candidates are expected to engage in interdisciplinary research teams and to foster collaborations with clinicians and virologists.
The Department of Biosystems Science and Engineering of ETH Zurich is located in Basel, a European hot-spot for biomedical research, in close proximity of several academic research institutes and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research.
For further information, please visit our web page at www.cbg.ethz.ch. Job Information Position Type: PhD student position Start Date: ASAP Duration: Contract Status: openContact InformationETH Zurich
Dept. of Biosystems Science and Engineering
Niko Beerenwinkel
niko.beerenwinkel@bsse.ethz.chwww.cbg.ethz.chHow To Apply:Please send the usual application material, including at least two references, as a single PDF file to Niko Beerenwinkel (niko.beerenwinkel@bsse.ethz.ch) and Jasmina Bogojeska (JBO@zurich.ibm.com).
Additional Info:
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ISCB Job Board
PhD Position in Computational Biology: HIV genome-based treatment optimizationETH ZurichDept. of Biosystems Science and EngineeringSwitzerland-Basel Applications are invited for a PhD position in the Computational Biology Group at the Department of Biosystems Science and Engineering of ETH Zurich in Basel. Our group is engaged in developing mathematical models and efficient algorithms for high-throughput molecular data. We are particularly interested in disease-associated cellular networks and evolutionary dynamics, including genetic and epigenetic variation in infectious diseases, cancer, and other complex diseases.The open position is in the emerging field of personalized medicine. It involves the development and application of computational, statistical, and machine learning methods for analyzing and integrating clinical with viral and host genomic data. Our goal is to predict HIV treatment outcome and to improve therapeutic strategies. The project will be carried out together with IBM Research Zurich and is part of a larger collaborative effort among clinicians, virologists, and computational biologists in Switzerland funded by SystemsX.ch.
Successful applicants have a strong background in computational biology, mathematics, statistics, computer science, physics, or a related field, and exposure to modeling biological systems. Candidates are expected to engage in interdisciplinary research teams and to foster collaborations with clinicians and virologists.
The Department of Biosystems Science and Engineering of ETH Zurich is located in Basel, a European hot-spot for biomedical research, in close proximity of several academic research institutes and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research.
For further information, please visit our web page at www.cbg.ethz.ch. Job Information Position Type: PhD student position Start Date: ASAP Duration: Contract Status: openContact InformationETH Zurich
Dept. of Biosystems Science and Engineering
Niko Beerenwinkel
niko.beerenwinkel@bsse.ethz.chwww.cbg.ethz.chHow To Apply:Please send the usual application material, including at least two references, as a single PDF file to Niko Beerenwinkel (niko.beerenwinkel@bsse.ethz.ch) and Jasmina Bogojeska (JBO@zurich.ibm.com).
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Additional Info:
[Click Here to Access the Original Job Post]