Job ID: 3352
Job date: 2015-05-07
End Date:
Company : French National Institute for Agricultural Research Country : Role : Student
Job date: 2015-05-07
End Date:
Company : French National Institute for Agricultural Research Country : Role : Student
Job Description:
MaIAGE (Mathématique Informatique Appliquées du Génome à l'Environement) is a computational biology laboratory located on INRA Jouy-en-Josas campus (~20km south of Paris).
This PhD position available in MaIAGE corresponds to sub-project 9 of List_MAPS, a Horizon 2020-funded Marie SkƗodowska-Curie Actions Innovative Training Network (ITN). The ITN recruits 11 PhDs with the overall objective to understand the ecology of Listeria monocytogenes through the combination of high throughput Epigenetics, Deep sequencing of transcripts, Proteomics, Bioinformatics, Mathematics and Microbiology to decipher the transcriptional regulatory circuitry that drives adaptation and virulence of L. monocytogenes from farm to fork.
In addition to excellent scientific competences, the network will provide training in the transferable skills required for competitive research (e.g. secure funding, management of working teams).
PhD project:
The PhD project will focus on transcriptional regulatory network reconstruction in L. monocytogenes based on transcripomics and genome sequence data. The PhD student will be co-supervised by Pierre Nicolas and Vincent Fromion. Sophie Schbath will also be involved in the project.
A significant part of regulation at the transcriptional level is achieved by modulation of transcription initiation rate. In bacteria, transcription initiation relies on recognition of particular sequence motif by a Sigma-factor approximately 10 bp upstream of the transcription start site (TSS). RNA-Seq transcriptomics provides direct information on the repertoire of TSSs and transcription units and thereby offers renewed perspectives to address the problem of regulatory motif identification.
The PhD project will consist of two parts to be carried out simultaneously. The first part of the project will be to characterise the transcriptional activity of the bacteria (detection of trancripts, delineation of operon structures, identification of TSSs and transcription terminators) by using existing tools. The second part of the project will be to develop new methods for prediction of transcription factor (TF) binding sites by combining expression profiles and precise information on the location of the TSSs.
Interested candidates should have a master degree in computational biology or applied mathematics.
Eligibility: Applicants can be a national of any country, but must not have resided or carried out their main activity in France for more than 12 months in the 3 years immediately prior to the recruitment date.
Additional Info:
[Click Here to Access the Original Job Post]
MaIAGE (Mathématique Informatique Appliquées du Génome à l'Environement) is a computational biology laboratory located on INRA Jouy-en-Josas campus (~20km south of Paris).
This PhD position available in MaIAGE corresponds to sub-project 9 of List_MAPS, a Horizon 2020-funded Marie SkƗodowska-Curie Actions Innovative Training Network (ITN). The ITN recruits 11 PhDs with the overall objective to understand the ecology of Listeria monocytogenes through the combination of high throughput Epigenetics, Deep sequencing of transcripts, Proteomics, Bioinformatics, Mathematics and Microbiology to decipher the transcriptional regulatory circuitry that drives adaptation and virulence of L. monocytogenes from farm to fork.
In addition to excellent scientific competences, the network will provide training in the transferable skills required for competitive research (e.g. secure funding, management of working teams).
PhD project:
The PhD project will focus on transcriptional regulatory network reconstruction in L. monocytogenes based on transcripomics and genome sequence data. The PhD student will be co-supervised by Pierre Nicolas and Vincent Fromion. Sophie Schbath will also be involved in the project.
A significant part of regulation at the transcriptional level is achieved by modulation of transcription initiation rate. In bacteria, transcription initiation relies on recognition of particular sequence motif by a Sigma-factor approximately 10 bp upstream of the transcription start site (TSS). RNA-Seq transcriptomics provides direct information on the repertoire of TSSs and transcription units and thereby offers renewed perspectives to address the problem of regulatory motif identification.
The PhD project will consist of two parts to be carried out simultaneously. The first part of the project will be to characterise the transcriptional activity of the bacteria (detection of trancripts, delineation of operon structures, identification of TSSs and transcription terminators) by using existing tools. The second part of the project will be to develop new methods for prediction of transcription factor (TF) binding sites by combining expression profiles and precise information on the location of the TSSs.
Interested candidates should have a master degree in computational biology or applied mathematics.
Eligibility: Applicants can be a national of any country, but must not have resided or carried out their main activity in France for more than 12 months in the 3 years immediately prior to the recruitment date.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]