[Đức] Học Bổng Toàn Phần Bậc Tiến Sĩ Và Sau Tiến Sĩ Tại Đại Học Schleswig-Holstein 2020

Research Group “Medical Systems Biology”, Institute of Experimental Medicine

The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80 clinics and institutes. It offers outstanding medical treatment and excellence in research and education with nearly 13,000 employees, 2,600 patient beds and more than 100,000 hospitalized patients, 240,000 outpatient cases and in excess of 3,000 births a year. We provide top research at the interface of medicine, science and technology. As part of the Excellence Cluster “Precision Medicine in Chronic Inflammation”, the Research Group “Medical Systems Biology” at the Institute of Experimental Medicine (University of Kiel and University Medical Center Schleswig-Holstein) focuses on the hypothesis-driven analysis of high-throughput experimental data sets to elucidate the role of the microbiome in the pathogenesis and treatment of inflammatory diseases.

We are looking for competent support as early as possible.

Your role:

As part of a highly interdisciplinary research group, you will be responsible for the integrative analysis of large-scale experimental data sets (microbiome, transcriptomics, proteomics, metabolomics, genomics) from patients and animal model systems with the aim to identify potential molecular mechanisms through which the microbiome contributes to the pathology of inflammatory diseases and their treatment using constraint-based modelling approaches. In close interaction with partners at the University Hospital Schleswig-Holstein and the Excellence Cluster “Precision Medicine in Chronic Inflammation”, hypotheses derived from modelling can be verified in an experimental or clinical context.

Your profile:

You are a motivated PhD or postdoctoral candidate (m/f/d) with education in bioinformatics, systems biology, molecular biology or a related field and possess excellent programming skills (R, Perl, Python, C/C++ or Java) and Linux knowledge. Additionally, you have gained experience in constraint-based metabolic modelling, in the analysis of next-generation sequencing data (RNA-Seq, ChIP-Seq, genome sequencing) and statistics. As the research group is international, strong (English) communication skills are required. 

What we offer:

Weekly working time is 100 % of a full-time position (currently 38.50 hours per week) for the postdoctoral position (working part-time is possible) and 75 % of a full-time position for the doctoral/PhD position. Salary will be, depending on qualifications, according to the German salary scale 13 TV-L (100% / 75 %). This is a temporary position based on a fixed-term contract until 31 December 2022 – with the possibility of extension for another three years for the postdoctoral position.

The University of Kiel and the University Medical Center Schleswig-Holstein offer an excellent research environment at the shores of the Baltic Sea.

The University Medical Center Schleswig-Holstein and its subsidiaries are equal opportunity employers committed to tolerance, diversity and inclusion in the workplace. We value a diverse workforce. People with disabilities will be given preference in case of equal qualifications.

Does that sound interesting?

For more details on the position, please contact Prof. Dr. Christoph Kaleta, Institute of Experimental Medicine, University of Kiel/University Medical Center Schleswig-Holstein (via phone at +49-431 5000-30340 or via email: c.kaleta@iem.uni-kiel.de). Questions on administrative/salary aspects can be addressed to Holger Hoffmann (phone +49-431 500-11191). More information on the University Medical Center Schleswig-Holstein and the research group can be obtained online at www.uksh.de/karriere and www.iem.uni-kiel.de/msb. 

We are looking forward to your application.  earliest possible starting date as well as the reference number 20190781, via our online portal: www.uksh.de/Bewerbung.html?nr=20190781

Universitätsklinikum Schleswig-Holstein

Dezernat Personal | Recruiting Center

Application link 

Deadline: 14/12/2019

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