Postdoctoral Researcher In The Group 'Evolutionary Processes Modeling'

Detalles de la oferta

Postdoctoral Researcher in the group 'Evolutionary Processes Modeling' Deadline: 06/12/2024 Centre / Institution: Center for Genomic Regulation The Institute The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries.
The CRG is composed of an interdisciplinary, motivated, and creative scientific team supported by a flexible and efficient administration and high-end innovative technologies.
We are looking for a postdoctoral researcher to join the "Evolutionary Processes Modeling" group.
We use computational analysis of sequencing data together with population genetics predictions and statistical modeling to answer questions about mutational processes and selective pressures in cancer cells and in the human population.
The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems through the use and development of computational and statistical approaches.
The candidate will analyze data, develop models for the description of tumor DNA sequencing data, develop a computational pipeline, and test biological hypotheses.
About the group Cancer is a genetic disease, subject to population genetics forces like mutation, selection, and stochasticity.
Our group is particularly interested in how the evolution and survival of cancer cell populations rely on mutation influx and in how we can identify cancer driver events from observed mutation data.
To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth dynamics, and selection.
Analysis of the mutational processes acting in cancer genomes allows us to learn about carcinogenic mutagens, while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth.
Estimates of the strength of selection in cancer allow prioritization of genes and non-coding regions by their disease relevance, with the ultimate goal of promoting therapeutic advances.
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Salario Nominal: A convenir

Fuente: Talent_Dynamic-Ppc

Requisitos

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