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  • tmanke
    Member
    • Oct 2009
    • 26

    Bioinformatics Postdoc @ MPI-IE, Freiburg, Germany

    The Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Germany, has an opening for a bioinformaticians for an initial period of two years.

    The Bioinformatics group supports a wide range of data-intensive projects and aims to understand the mechanisms which control gene expression and cellular identity. As part of large consortia (German Epigenome Programme, CRC Medical Epigenetics) we support the generation of reference epigenomes and the integrative analysis of deep-sequencing. Our embedding into an international network of bioinformaticians, biologists and clinicians provides ample opportunities for personal development and collaborations. The successful candidate will be working on the analysis of regulatory networks and chromatin organization in the context of B-cell development (together with the Grosschedl Department)

    Your tasks:
    Group members have the exciting opportunity to contribute to methodological developments and, at the same time, collaborate directly with leading experts in immunology and epigenetics. First-hand access to original data and the direct connections to specific biological questions enable us to translate algorithmic solutions into novel applications with highest possible impact. As the group also interacts very closely with an in-house deep-sequencing facility (HiSeq2500, MiSeq), you will have the unique chance to guide research projects from experimental design to data analysis and interpretation. Successful applicants will join a strong and interdisciplinary team that provides valuable know-how and access to a high-performance Data Center with Petabyte-scale storage solutions.

    Your qualifications:
    ● PhD in bioinformatics, life science, natural science, or comparable experience
    ● proven track-record in genome-wide analyses, statistics, and machine learning
    ● fluency in English

    We are looking for motivated team players with strong communication skills and the desire to work in a dynamic environment. Successful applicants will have a strong computational track record, diverse programming skills, and a solid background in statistical data analysis. We are seeking candidates who can complement our existing expertise in deep-sequencing analysis and bring in innovative approaches to the integrative analysis of the genome, epigenome and transcriptome. Your desire to understand biological problems is a must, and prior experience in the field of immunobiology or epigenetics is a strong plus.

    We offer:
    Based within close vicinity to both France and Switzerland, our institute hosts a vibrant community of international researchers and many state-of-the-art facilities (e.g. a modern deep-sequencing unit and a powerful data center).
    Salaries will be based on previous experience according to TVöD guidelines.

    Application deadline: 26.06.2015
    Candidates should submit their full applications (including a resume, an outline of research interest, and the contact details of referees) to our homepage: http://www.ie-freiburg.mpg.de/jobs

    For informal inquiries please contact: [email protected]

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
    Yesterday, 11:43 AM
  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM

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