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Position: PhD in Computational Biology (m/f/x)
Institution: Rheinische Friedrich-Wilhelms-Universität Bonn
Location: Bonn, Nordrhein‐Westfalen, Germany
Duties: Apply bioinformatic methods and perform statistical analysis for large-scale multi-omics studies, e.g. RNA-Seq; Support researchers in interdisciplinary project teams with data analysis expertise; Develop novel methods and tools (i.e. machine learning approaches) for analysis of available data; Publish scientific results at conferences and in journals
Requirements: Master’s degree in bioinformatics, computational biology, systems biology, statistics, computer science, or related fields; Experience in the analysis of NGS data (e.g. DNA-seq, RNA-seq, ATAC-seq, ChIP-seq, and BS-seq); Proficiency working with existing bioinformatic tools and developing new algorithms; Excellent bioinformatic and programming skills (preferably R and Python); Proficiency in written and spoken English
   
Text: PhD in Computational Biology (m/f/x) The University Hospital Salzburg and the University of Bonn are internationally renowned research institutes, with over 200 years of history and more than 5,500 employees. The University of Bonn was the most successful university in the most recent Germany Excellence Initiative. In the last month, the Salzburg Cancer Research Institute (SCRI) Laboratory of Immunological and Molecular Cancer Research (LIMCR) at the 3 rd Medical Department of the University Hospital Salzburg, and the Interdisciplinary Research Unit Mathematics and Life Sciences of the University of Bonn, have formed an alliance. The aim of this alliance is to improve the analysis, integration and usage of clinical and research data. In this context, the institutions offer a joint PhD position. The PhD student will be hired via the SCRI-LIMCR and enrolled in the PhD program at the University of Bonn. It is expected that the student will spend time at both institutes, roughly 70% at the University of Bonn and 30% at the SCRI-LIMCR, according to the working program. The accommodation in Salzburg can be provided by the SCRI-LIMCR. Tumor heterogeneity and evolution are critical factors in cancer development, and limit the success of many available treatment strategies. This research project will focus on the analysis of cancer samples, in particular the aspects of tumor heterogeneity and evolution in the presence of different immune phenotypes and treatment approaches. Here, we would like to achieve a more comprehensive understanding by combining a unique set of mouse models with large amounts of clinical data using novel statistical analysis and data integration approaches. Job description: ● Apply bioinformatic methods and perform statistical analysis for large-scale multi-omics studies, e.g. RNA-Seq ● Support researchers in interdisciplinary project teams with data analysis expertise ● Develop novel methods and tools (i.e. machine learning approaches) for analysis of available data ● Publish scientific results at conferences and in journals Your profile: ● Master’s degree in bioinformatics, computational biology, systems biology, statistics, computer science, or related fields ● Experience in the analysis of NGS data (e.g. DNA-seq, RNA-seq, ATAC-seq, ChIP-seq, and BS-seq) ● Proficiency working with existing bioinformatic tools and developing new algorithms ● Excellent bioinformatic and programming skills (preferably R and Python) ● Ability to present results, ideas, problems, and find solutions ● Creativity and ability to work independently and as part of a team ● Proficiency in written and spoken English ● Passion for science and scientific work Our offer: ● An innovative, well-equipped and scientifically stimulating environment ● Work at the interface of clinical research and computational biology ● Training opportunities ● Attractive employment conditions with an initial contract for 3 years The SCRI-LIMCR and the University of Bonn are committed to diversity and equal opportunity. They aim to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore urges women with relevant qualifications to apply. Applications from suitable individuals with a certified serious disability and those of equal status are particularly welcome. The deadline for the application round is April 15, 2020 . Application documents (cover letter, CV, certificates, and two reference letters or contact details of former advisors) should be submitted as soon as possible as a single PDF file via email to Sandra Lienbacher , sa.lienbacher@salk.at . Contact: Prof. Dr. Jan Hasenauer, jan.hasenauer@uni-bonn.de
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