|Post-doctoral researcher in Structural and Functional Genomics and/or Bioinformatics: Evolutionary development of flowering and fruiting and elucidation of gene function in a model plant system (106_GBPF_PDSFG)
|Date Posted||Monday, 16 July 2012|
|Location||San Michele all'Adige (TN), Italy|
Fondazione Edmund Mach - Research and Innovation Centre
Via Mach 1
San Michele all'Adige (TN), Italy, 38010
|Job Description||We are seeking a highly motivated and independent researcher in structural and functional genomics and/or bioinformatics that will join a team that has completed the sequencing of the strawberry genome and is currently involved in the study of the evolutionary development of flowering and fruiting. We are seeking candidates with a range of skills in molecular genetics, structural and functional genomics and/or bioinformatics. Previous experience in all these areas is desirable but not essential, but successful candidates will need to demonstrate a proven track record in one or more of the aforementioned disciplines through refereed articles in high quality peer-reviewed journals.
Analysis of Illumina HiSeq2000 sequence data and assembly of de novo and reference-guided genome sequence data.
Comparative genomics with model plant systems to identify key gene pathways and regulatory networks involved in flowering and fruiting in Fragaria and its close relative and evolutionary development hotspots.
Performing analysis of genotyping by sequencing on segregation progenies to develop dense SNP linkage maps of diploid Fragaria and its close relative.
Gene expression analyses to demonstrate gene function in the model plant system.
Keywords:Structural and Functional genomics; Bioinformatics; Next Generation Sequencing; Genotyping by Sequencing; model plant; Arabidopsis
The language of the group is English and so fluency in spoken and written English is a prerequisite.
Knowledge of Linux/Unix environment and programming languages (Perl, Java, Python or C++) is highly desirable but not essential.
Excellent proven communication and collaboration skills, through publications in refereed journals. Flexible attitude, willing to work across multiple disciplines; adaptable and ability to learn to use new technologies in a rapidly evolving scientific context.
Supervisor: Daniel James Sargent
Deadline 12ve August 2012
|Qualification||PhD in Genetics or Molecular Biology, Bioinformatics, Statistics, Applied Mathematics, Physics or Computer Science.
It is essential that the candidate has experience in one or more of the following areas, with two or more being highly desirable: Analysis of second generation sequence data and whole genome re-sequencing data; structural genomics; functional genomics; molecular genetics.
|How to Apply||Check website:
|Supervisor/ Principal Investigator|
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