AIT Austrian Institute of Technology
PhD Thesis “Bioinformatics methods for prediction of kidney transplant survival”
AIT Austrian Institute of Technology
The AIT Austrian Institute of Technology, Austria's largest non-university research institute, is among the European research institutes a specialist in the key infrastructure issues of the future.
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JOB DETAILS
Published: 1 month ago
Application deadline: Unspecified
Location: Vienna, Austria
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PhD Thesis “Bioinformatics methods for prediction of kidney transplant survival”

We are Austria’s largest Research and Technology Organisation and an international player in the research areas that we cover. This makes us a leading development partner for industry and a top employer in the scientific community. Applications are invited for a:

PhD Thesis “Bioinformatics methods for prediction of kidney transplant survival”

50% of kidney transplants are lost within ten years. This is mainly driven by chronic antibody-mediated rejection (ABMR). Epidemiological data suggests a significant contribution of antibodies directed against mismatches, but clinical significance remains unclear. Using a systems biology approach to integrate novel multi-omics data sets into a predictive model of transplant outcome, we will be able to better match donor/receptor kidney transplant candidates.

The PhD Thesis will be done in collaboration with the Medical University of Vienna (Prof. Rainer Oberhauser) and Center for Molecular Medicine & Medical University (Prof. Christoph. Binder).

Description

  • Analyzing peptide and protein chip data
  • Development of bioinformatics pipelines for LoF and nsSNPs identification
  • Creating methods for selecting/screening epitopes for peptide arrays
  • Establishing a data platform for integration of factors leading to kidney organ rejection

Candidate profile

  • Master in bioinformatics, computational biology, computational chemistry or related field
  • Knowledge about protein structures, protein interactions, epitope prediction, variant annotation
  • Experience with programming languages and Linux command line tools
  • Know-how in data analyses and data integration

Duration: 3 Years

Your compensation:

AT least € 2.045,10 gross for 30 hours per month standard personnel salaries for FWF project proposals.

Please submit your application documents, including certificates, to

Maria Leonhard-Maurer, MSc, Head of Human Resources
maria.leonhard-maurer@ait.ac.at, +43 (0) 50550-2032
www.ait.ac.at

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