The successful candidate will participate in the development of integrative analysis methods of orthogonal high-throughput data for the characterization of the functional impact of somatic mutations in cancer patients, using high density and Next Generation Sequencing data generated from human samples and cell lines. The candidate will participate in the development of analytical methods for the prediction of protein structural variations.
The minimum requirements include a PhD degree in Computer Science or related fields. Basic knowledge of molecular biology, genetics and cancer biology is also required. Applicants should contact the laboratory PI, Dr. Francesca Demichelis (demichelis[at]science[dot]unitn[dot]it). Application guidelines are posted at the following web-page http://www.unitn.it/en/cibio.
Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is a Swiss-based and internationally networked aquatic research institute within the ETH domain (Swiss Federal Institute of Science and Technology). It is committed to the […]
The Faculty of Applied Economics of the University of Antwerp is seeking quantitatively oriented candidates for the following full-time position in the Department of Environment, Technology and Technology Management Doctoral student in the […]
Applications are invited for a PhD position at the University of Aarhus, Faculty of Agricultural Sciences (DJF), Department of Food Science. The position is available for three years beginning as soon as possible. Research area […]
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