Postdoc or PhD Candidate in Computational Biology

 
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WorkplaceMünchen, Bayern, Germany
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Technische Universität München


Technische Universität München

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Postdoc or PhD candidate in Computational Biology

10.01.2020, Wissenschaftliches Personal

Single-cell technologies have recently gained popularity tremendous popularity with a big impact on understanding the pathogenesis of diseases and the design of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We are currently deciphering the heterogeneity and regulation of tissue resident T cells at single cell resolution in human peripheral tissues.

The interdisciplinary research center TranslaTUM at the Technical University of Munich in Germany is looking for a

Postdoc/PhD in single-cell Bioinformatics

Single-cell technologies have recently gained popularity tremendous popularity with a big impact on understanding the pathogenesis of diseases and the design of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We are currently deciphering the heterogeneity and regulation of tissue resident T cells at single cell resolution in human peripheral tissues.

Your responsibilities:
  • implement, develop and extend methods for processing and analyzing single-cell RNAseq
    and protein profiles (CyTOF)
  • develop methods for second level analyses e.g. interaction networks, enrichment analyses
  • biological interpretation of data
    Your qualification
  • PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences
  • background in Machine Learning and/or RNAseq analysis
  • interest in biological applications
  • passion for science and scientific work
  • proficient in written and spoken English

    Our offer:
  • Working in an innovative, highly funded and scientifically stimulating environment (TranslaTUM)
  • a young and dynamic international research group
  • Further training opportunities
  • Initial employment contract for 2-3 years with a standard public service salary (TV EntgO
    Bund)
    Application documents (motivation letter, CV, certificates, two references) should be submitted
    as soon as possible and no later than 1st March 2020 as a single PDF file to christina.zielinski [at] tum[.]de

    For Information: ?url=www.zielinskilab.com&module=jobs&id=152635" target="_blank" rel="nofollow">www.zielinskilab.com

    Hinweis zum Datenschutz:
    Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

    Kontakt: Christina.zielinski [at] tum[.]de

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