Opis:
Title of the position: MSc student in Laboratory of Functional and Structural Genomics
Scientific discipline: molecular biology, biotechnology, next generation sequencing, the role of 3D chromatin structure in storing, processing and evolving biological information; Spatiotemporal 4D genome organization and transcription regulation in human population, bioimaging, chromosome painting.
Job type: Scholarship
Number of job offers: 1
Remuneration/Stipend amount/month: 2500
Position starts on: 2019-05-01
Maximum period of contract/stipend agreement: 5 with the option for extension up to 17 months
Institution: Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw
Project leader: Dariusz Plewczynski
Project title: Three-dimensional Human Genome structure at the population scale: computational algorithm and experimental validation for lymphoblastoid cell lines of selected families from 1000 Genomes Project
Project Description: The aim of the research project is to explore at the population scale the relation between the three-dimensional structure variability of Human cell nucleus, and the emergence and the nature of the genomic sequence alterations. The research team will use public and proprietary experimental results of large-scale next-generation sequencing studies, and recently developed theoretical algorithms. The project will establish novel multi-scale computer method that is able to predict the 3D structure of genome for an individual using only its 1D genomic sequence (the list of structural variants SVs) by applying biopolymer theory, statistical learning and the biophysical properties of chromatin. The results will be validated by chromatin conformation capture experiments for selected families from 1000 Genomes Project, with the additional aim to better understand both normal and pathological structural changes occurring during evolution of Human genome.
Key responsibilities include:
The immortalization of patient-derived cells. The extensive work within 3D genomics field including NGS-based approaches like Hi-C, Hi-ChIP, ChIA-PET. Experimental data analysis.
Profile of candidates/requirements:
1. Bachelor degree in biotechnology, molecular biology, genomics, biochemistry or related discipline
2. Prefered experience in human or mammalian DNA sequencing, epigenomics, RNAseq, ATAC-seq
3. Priority will be given to candidates with expertise relevant to the TEAM project and in agreement with the general profile of the laboratory. Preliminary work done by applicant in the context of 3D chromatin organization will be treated as the critical for successful candidate.
4. The strong knowledge in bioimaging techniques (3D FISH, chromosome painting etc.) will be the strong asset.
Required documents:
1. CV
2. Motivation letter (why I would like to join 3DGenomics field?)
3. BSc certificate
4. Short written document about recent advances in 3D genomics
We offer:
• MSc fellowship 2,500 PLN/month
• Appointment starting 1st May 2019, funding guaranteed for 5 months, possible extension up to 17 months and further beyond TEAM project.
• TEAM project provides unique opportunities for interdisciplinary work between biology, physics, and computer sciences, as well as well established and long-lasting international collaborations with recognized academic institutes and universities in US. Close collaboration with industry will be present as well. We provide also the access to modern 1D and 3D genomics equipment and support from other experienced researchers. International partner (Prof. Yijun Ruan) will be co-supervising your work at the laboratory.
Please submit the following documents to: dr hab. Dariusz Plewczyński, prof. UW
e-mail: dariuszplewczynski@cent.uw.edu.pl, tel.: +48 22 55 43654
Website: https://4dnucleome.cent.uw.edu.pl
Laboratory of Functional and Structural Genomics, Center of New Technologies, University of Warsaw
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Termin nadsyłania aplikacji: 29/04/2019
Załącznik: pobierz
Słowa kluczowe: chromatin, nucleus, 4D nucleome, chromosomal territories, chromosome painting, Hi-C, 3D genomics
