Employer: University of Copenhagen, Faculty of Health and Medical Sciences, Department of Veterinary and Animal Sciences, bioinformatics group (http://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (http://rth.dk)
Closing date: Sep 17, 2018
Brief position description: A two-year Postdoc position is available in the bioinformatics group (http://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 http://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.
Job website: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=147905&DepartmentId=19008&MediaId=5
Contact name: Jan Gorodkin
Contact email: gorodkin@sund.ku.dk