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As German Research Center for Environmental Health, Helmholtz Zentrum München pursues the goal of developing personalized medical approaches for the prevention and therapy of major common diseases such as diabetes mellitus, allergies and lung diseases. To achieve this, it investigates the interaction of genetics, environmental factors and lifestyle.
The Institute of Network Biology – INET – is a leading institution in protein-interaction network analysis. A deep understanding of principles and specifics of protein interaction network function, and how perturbations by microbes and evolutionary processes result in altered phenotypes, are the key aspects guiding our research agenda. The understanding of molecular networks and their dynamics by natural perturbations will facilitate their targeted modulation for applications in medicine and bio economy. The Institute is based on an interdisciplinary approach that combines experimental high-throughput protein-interaction mapping and mechanistic studies with computational analyses ranging from graph theory and statistics, machine learning, phylogenetic analyses to quantitative modeling.
To a highly motivated applicant we are offering the position of a
PhD candidate (f/m/d) in computational network biology
The open position will involve working with a multi-disciplinary team of molecular biologists and bioinformaticians as we apply, further develop and leverage methods and technologies towards protein-interactions in different contextual settings with focus on host-microbe interaction networks in the context of humans disease related to allergies and intolerances. We provide a stimulating and highly collaborative research environment that is embedded in a network of local, national and international collaborations.
A background in bioinformatics, systems or network biology, complex systems or comparable is expected.Candidates should be interested to bio-computational analyze protein interaction networks on a systematical level.Familiarity with biological data bases and scripting languages as well as the command of programming languages (Python, C, C++ or Java) is required.Candidates should be conceptually familiar with high throughput settings and analyzing of high throughput data in a systems biology context.Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse multidisciplinary and multicultural team are necessary.A proactive and independent thinking personality devoted to science and motivated to search for innovative research solutions would fit into our research team.
At the Helmholtz Zentrum München, you can contribute together with leading researchers to the investigation of the development, prevention and treatment of environmental diseases such as diabetes, chronic lung diseases and allergies. In order to further promote your professional development, we offer extensive and targeted research training and career programmes. We support the reconciliation between work and private life with flexible working time models, occupational health management, day care facility for children, a childcare subsidy, Elder Care, as well as other counseling and support services.
For doctoral students remuneration and benefits are in accordance with the collective agreement for the public service (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of granting an allowance amounting to 15% if the necessary conditions are fulfilled.
The position is (initially) limited to three years.
As a holder of the Total E-Quality Award, we promote equality of opportunity. In order to increase the proportion of women in management positions, we would be pleased to receive corresponding applications. Qualified applicants with physical disabilities will be given preference.
For further information please visit our lab website: www.helmholtz-muenchen.de/inet/index.html
We are looking forward to receiving your comprehensive online application (including CV, letter of motivation, publication list, transcripts of degrees, references and other relevant information) until 07.04.2019.