We have currently one postdoctoral positions open for spring 2017. Please find detailed information and link to the application system (MyNetwork) following the link below. Application deadline is April 2nd.
The available postdoctoral position concerns developing and applying novel genomic approaches to study non-genetic heterogeneity in clonal population of cells. The candidate will focus on the study of translation regulation and its contribution to cell-to-cell variability in S. cerevisiae, with a special focus on ribosome dynamics, tRNA biology and post-transcriptional regulation. In a second stage the candidate will expand his/her work to the study of human cells. The candidate will perform original research in genomics, and acquire the required experimental and computational skills necessary for the completion of the project.
The candidate will be responsible for developing and applying novel genome-wide approaches to answer biologically relevant questions. The successful candidate will take a strong lead in the experimental design, contribute to the analysis of his/her own data and collaborate with other team members.
The candidate is expected to communicate the scientific results by writing up scientific papers and attending scientific meetings. The ideal candidate is also expected to participate in the general duties of the team and to effectively communicate with scientists of very diverse backgrounds in a highly interdisciplinary and international environment.
A person is eligible for a position as Postdoctoral Researcher if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc. The term can be extended under special circumstances. Applicants to this position should have a PhD in genomics, RNA biology or molecular biology.
The candidate will preferentially have experience with post-transcriptional regulation and yeast genetics. The successful applicant should have experience in RNA biology and molecular biology tools. A strong interest in interdisciplinary technology development, and novel and creative thinking abilities are essential.
Preferred experience also includes familiarity with bioinformatics and NGS analysis and proficiency interpreting genome-wide scale biological data. Experience in eukaryotic transcription, tRNA biology, ribosome profiling, RNA binding proteins, CLIP or RIP-Seq will be beneficial. Applicants wishing to integrate experimental and computational biology approaches are especially encouraged to apply