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Job-Art: Wissenschaftliche Jobausschreibungen

PhD student position

Fachgebiet
Transplant Medicine/ Virlogy
Arbeitsstätte
Medical Univiersity of Vienna
Website
Bewerbungsfrist
31.08.2017

Ausschreibungstext

PhD student position

 

Overview

We are offering a PhD student position for a project in solid organ transplant virology. The project will start between September and December 2017 and span over a minimum of 3 years. It is funded by the Austrian Science Fund (FWF, KLI 604-B31) and based at the campus of the Medical University of Vienna, Austria.

The student will be enrolled in the thematic PhD program for organ failure, organ replacement and transplantation (http://www.meduniwien.ac.at/poet/en/home/index.php) at the Medical University of Vienna. The project will be supervised by Prof. Bond (Transplant Nephrology; junior PhD supervisor) and Prof. Puchhammer-Stöckl (Virology; senior PhD supervisor). The laboratory based work will be conducted at the Department of Virology (https://www.virologie.meduniwien.ac.at/) and the Division of Nephrology (VIETAC lab, http://www.meduniwien.ac.at/vietac/).

Salary will be according to the standard personnel costs and salaries for FWF project proposals (https://www.fwf.ac.at/en/research-funding/personnel-costs/).

Please send applications (English or German) including CV, certificates, letter of motivation and contact details of two referees to gregor.bond(at)meduniwien.ac.at.

 

The project

Torque Teno virus (TTV) is a highly prevalent and apathogenic anellovirus. Its proliferation is dependent on the immunological status of the host and thus indirectly reflects the intensity of immunosuppression. It is an ideal candidate for immunologic monitoring after solid organ transplantation. The present project will analyze the kinetic of the human virome with a special focus on TTV genotypes in the setting of kidney transplantation.

 

The candidate

We invite applications from outstanding graduates in the fields of biochemistry, molecular biology, biotechnology, medicine and bioinformatics. The ideal candidate will have knowledge of RT-PC, and next generation sequencing. A strong background in biostatistics will be of advantage. Fluent German or English is recommended.

Kontakt-Person(en)

Haupt-Kontakt
Name: gregor bond

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