Faculty Position in Computational Cancer Research at the EPFL, Lausanne (CH) – Deadline 08.01.22

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The School of Life Sciences of EPFL (Ecole polytechnique fédérale de Lausanne) invites applications for a tenure track assistant professor position in the field of Computational Cancer Research.

This search is part of major initiatives in the Lake Geneva region to study the mechanisms of cancer development and progression with an application to therapy, using and developing advanced computational techniques, including machine learning. The successful candidate will: join the faculty of the Swiss Institute for Experimental Cancer Research (ISREC) 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. Candidates 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