Master Project - Cancer Cytogenetics Beacon

This project is based on the premises that:

Master’s position in Bioinformatics UZH/ETH, Zürich

The laboratory of Neuroepigenetics (lab of Prof. Dr. Isabelle Mansuy) is looking for a Masters student for a project in bioinformatics.

The project is at the interface between computation and biology and aims to gain insight into the biological mechanisms of epigenetic inheritance by mining data from the literature. The purpose is to analyze multi-omics data including DNA methylome, transcriptome, chromatin structure, proteome and/or metabolome in mouse and rat models and/or humans using publicly available and customized pipelines and algorithms. It also involves a part on software development and improvement for multi-omics data analysis.

Programming in R/Python and knowledge of UNIX-like platform is required. Knowledge of Git and some experience in analyzing NGS data is advantageous. Applicants with research experience are particularly encouraged to apply. The position is available now. Applicants from biology, bioinformatics, mathematics, computer science, physics or any relevant interdisciplinary background are welcome. Applicants with research experience are particularly encouraged to apply. The student will join a team of bioinformaticians and biologists who work together on the generation and analyses of experimental data.

PhD / Postdoc in Computational Phylogenetics

With the advent of new generation sequencing (NGS) bioinformatic methods must keep pace to provide robust scalable solutions to analyse large sets of molecular sequences. The evolutionary history of molecules is described by a tree structure called phylogeny, which is inferred from genomic sequences. Phylogenies are used for testing biological hypotheses with applications ranging from medicine to ecology. Phylogeny inference usually relies on an inferred alignment of homologous sequences, which – in turn – relies on a guide-tree reflecting their ancestral relationships. The goal is to address this apparent circularity so to improve the reliability of phylogenetic analyses. Ideally alignment and tree should be inferred jointly.