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Faculty Position in Computational Cancer Research | |
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Workplace | Lausanne, Lake Geneva region, Switzerland |
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The School of Life Sciences of EPFL (Ecole polytechnique fédérale de Lausanne) invites applications for
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DescriptionThe successful candidate will: join the faculty of the Swiss Institute for Experimental Cancer Research (ISREC) ?url=http%3A%2F%2Fisrec.epfl.ch&module=jobs&id=206107" target="_blank" rel="nofollow">?url=http%3A%2F%2Fisrec.epfl.ch&module=jobs&id=206107" target="_blank" rel="nofollow">http://isrec.epfl.ch; develop an independent internationally prominent research program in the broad domain of computational cancer research and its potential therapeutic applications; commit to excellence in teaching at the undergraduate and graduate levels; and supervise PhD students and postdoctoral fellows.
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RequirementsCandidates may work in any computational cancer-related area, including cancer genetics, functional genomics, multi-omics analysis of patient cohorts and genome instability, epigenetic regulation of cancer genotypes, cancer metabolism, computational cancer genetics, tumor evolution, and tumor escape mechanisms.
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Contact and AddressApplications should include a cover letter, a curriculum vitae, a list of publications (annotated to indicate the candidate’s contributions) a synopsis of major accomplishments, and a concise statement of future research agenda and teaching interests, along with the contact information of at least three references who are ready to supply their letter upon request. Applications should be uploaded as PDF files to the recruitment web site: Formal evaluation of candidates will begin on January 8, 2022, and continue until the position is filled. Enquiries may be sent to: For additional information on EPFL, the ISREC institute and the school of life sciences, please consult: www.epfl.ch, sv.epfl.ch EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply. | |
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In your application, please refer to myScience.uk and reference JobID 206107. |