Postdoctoral Research Associate in ‘Elucidating The Role of Cellular RNA-binding Proteins in Virus Infection’

We are seeking to appoint a Postdoctoral Research Associate to elucidate, on a proteome-wide scale, the cellular players interplaying with viral RNA in infected cells. This project involves the development of new high-throughput methods to study protein-RNA interactions using the latest proteomics and RNA sequencing platforms. Moreover, we will employ state-of-the-art virology and RNA biology techniques to characterise these interactions in depth.

Applicants should possess a PhD/DPhil, or be near completion of a PhD/DPhil, in biochemistry, molecular biology or related discipline and should have experience in molecular and cellular biology. You should be able to design effective experiments and be able to interpret the results accordingly. Problem-solving abilities and the capacity to drive a research project forward in a pro-active manner are essential as is the ability to work as part of a team. You should be willing to work with category 2 and 3 viruses and supervise and train students. You should have at least one publication as first author in a peer-reviewed journal and be willing to apply for postdoctoral fellowships

The closing date for applications is 12.00 noon on Monday 9 July 2018, with interviews for shortlisted candidates to be held as soon as possible thereafter. Do not hesitate to contact us for further information on this post.

APPLICATION SITE

or send an email to us

The Computational Evolutionary Genomics group at CBGP (Madrid, Spain) is seeking for outstanding and motivated postdocs to join the Computational Systems Biology and Genomics Program (CSBGP).

Potential research lines include:

1) Novel enzyme discovery out of massive metagenomics data using phylogenomic, structural and genomic methods. Metagenomic sequences from multiple microbiome sources (e.g. ocean, gut, soil, etc) lacking functional annotation will be analyzed. Bioinformatic pipelines will be developed to study phylogenetic, syntenic and structural similarities of novel sequences, as well as to infer predictions that can be integrated into metabolic modeling tools.

2) Evolution of gene function in plants and microbial organisms. Functional innovations and their ancestral origins will be investigated taking advantage of newly sequenced genomes, transcriptomes and soil/ocean metagenomes. We aim at combining genomic and metagenomic data to trace the gain, loss and evolutionary divergence of functional modules across the whole tree of life. We are also interested in studying functional profiles as ecological or host-associated signatures.

Applications: http://compgenomics.org/jobs/