[LDOCT] VAGA DE PÓS-DOC

[pggen USP]

Prezados Professores

A pedido da Pós-Doc do Departamentor Flávia Freitas, repasso.

Abs

Susie Nalon
Secretária do Programa de Pós-Graduação em Genética
FMRP-USP
Fone (16) 3315-9098

Postdoc position in Bioinformatic and transcriptomic analysis and detection
of non-coding RNA in bacteria
A two-year Postdoc position is available in the bioinformatics group (
https://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology
and Health (RTH), (http://rth.dk) at Department of Veterinary and Animal
Sciences, Faculty of Health and Medical Sciences at University of
Copenhagen. The Postdoc position in Bioinformatic and transcriptomic
analysis and detection of non-coding RNA in bacteria is available from 1
October 2018 or as soon as possible thereafter.

Information about the department can be found at https://ivh.ku.dk/english/.


As a team player working with great excitement you will be a key person in
the project. The Postdoc position is part of the NextProd project (
http://nextprod.dk), which aims to discover non-coding and structured RNA
(ncRNA) that can affect the yield of cell factories. The NextProd project
is supported by Innovation Fund Denmark.

*Background *
Cell factories are based on organisms, which have been carefully optimised
to produce protein-based products such as enzymes and pharmaceutical
proteins with the highest possible yield. However, current technology is
saturated with respect to yield improvement although the theoretical
maximum has not yet been reached. Within the NextProd project, the goal is
to improve the yield by manipulating ncRNAs.

*Job description *
Transcriptomic data sets from relevant strains of the model cell-factory
Bacillus subtilis will be used as outset for identification of ncRNAs,
their expression, RNA structure and potential RNA-RNA interactions. An
integrated workflow will be established including both known tools and
tools developed on demand when relevant. The work involves interfacing and
updating a genome browser framework with transcriptomics data,
visualization results and gene associations. The work will be combined with
further experimental analysis of candidates from the project collaborators.

*More information*: https://employment.ku.dk/faculty/?show=147905
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