The candidates will develop both array and sequencing based single-cell methods and will be involved in developing the algorithms applying paired-end mapping and read depth strategies to detect copy number variants, balanced structural variants as well as other variants (retrotransposition, SNPs, mutations) in single cell genomes. Furthermore, they will implement and further develop the methods for single-cell transcriptome analysis, and integrate single-cell transcriptome with genome data.The candidates will be pioneering this single molecule sequencer and develop novel analysis pipelines for its data interpretation. This involves day-to-day collaboration with other postdoctoral and doctoral researchers who develop bioinformatics strategies for genetic variant detection and visualization based on massive parallel sequence analysis of genomic DNA extracted from blood as well as with molecular biologists who perform follow-up experiments.

Description

). The project aims on the development and application of massive parallel sequencing-based methodology to detect genetic variants in single-cell genomes as well as to capture transcriptomes derived from individual cells of human preimplantation stage embryos to unravel the mechanisms of genomic instability during the first cell cycles of human life. Technology will be developed to combine time-laps microscopy of human preimplantation embryo development with state-of-the-art single-cell analyses. Additionally, the candidates will be involved in the development of novel approaches for preimplantation genetic diagnosis guided by single-cell genomics assays, genome-wide single-cell haplotyping in particular. We are embedded in the Center for Human This research will be performed at the intersection of the Department of Human Genetics, the Department of Electrical Engineering, the Genomics Core Facility and the Leuven University Fertility Clinic (LUFC). You will be part of the Department of Human Genetics which is a vivid international research centre that studies key issues relevant to human health. The University of Leuven is one of Europe’s leading research universities, with English as the working language for research. Leuven is one of Europe’s most beautiful university towns, just outside Brussels, at the heart of Europe. In addition to the SARM consortium partners with whom an immediate interaction is foreseen, the postdocs will have the opportunity to interact with a single-cell research team at the Wellcome Trust Sanger Institute (Hinxton – Cambridge, UK). Profile Importantly, at the time of recruitment the newly recruited researcher must not have resided or carried out his/her main activity in Belgium, for more than 12 months in the 3 years immediately prior to his/her recruitment. Compulsory national service and/or short stays such as holidays are not taken into account. Postdoc position 2 under supervision of Prof. Thierry Voet The ideal candidate holds a PhD degree in genomics / bioinformatics / computational biology with a good understanding of genetics and DNA sequencing technology and has vast experience in computational biology with a good understanding of wet-lab procedures (with/without hands-on experience). Analytical, algorithmic and mathematical skills are essential, as well as programming and statistical data analysis expertise is a requirement. Prior experience working with second generation (Illumina) and/or third generation (single-molecule) sequencing data as well as a PhD relating to the development and application of methods for genome-wide detection of genetic variation and/or transcriptomics data analysis would be a distinct advantage, but is not required. Good communication skills are important for this role.

Benefits

The remuneration will be in line with the EC rules for Marie Curie Industry-Academia Partnerships and Pathways (IAPP) grant holders and will consist of a living allowance, complemented by a mobility allowance.

Additional Job Details

http://med.kuleuven.be/cme/subpage.html?section=laboratories&subsection=laboratory-for-cytogenetics-and-genome-research

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