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PhD in Computational RNA Biology

Published: 2018-04-16

Stockholm University announces two graduate student positions in Computational RNA Biology


Research project

The graduate student positions are available in the group headed by assistant professor Marc Friedländer, part of MBW and located at the SciLifeLab. Funded by an ERC starting grant and the Swedish Research Council, the group seeks to address fundamental questions in RNA biology, by applying quantitative approaches such as single-cell RNA sequencing, single-molecule FISH, various screening methods and bioinformatics. The biogenesis and function of regulatory miRNAs are of particular interest. The computational biology graduate students will mine sequence and image data using existing tools, but will also develop novel source as part of the analyses. The students will work in close collaboration with wet-lab biologists and will be actively engaged in multiple levels of the projects. Lab website:

Graduate studies in molecular biosciences requires a completed university degree at master’s level or corresponding in a field related to biology or computation. The successful applicants will have a good understanding of molecular biology and genetics and will be familiar with scripting/programming. Experience with next-generation sequencing data is an advantage, but is not required.

Terms of Employment
The employment is set up for a fully funded four year PhD project. In practice, newly appointed graduate students are initially financed for up to one year. Subsequently, the employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.

Further information can be provided by assistant professor Marc Friedländer,

Applications should be submitted using the Stockholm University web-based application system at:
Click on the position “PhD student in Molecular biosciences ( C )” and click the “Apply” button on this page.
It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
Please include the following information with your application

• Your contact details and personal data
• Your highest degree
• Your language skills
• Contact details for 2–3 references

and, in addition, please include the following documents

• Cover letter describing why you are interested in the field/project described in the advertisement and what makes you suitable for the project in question
• CV – degrees and other completed courses, work experience and a list of degree projects/theses
• Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)
• Letters of recommendation (no more than 6 files)
• Degree projects/theses (no more than 6 files).


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