Computational Biology, Cancer Biology, Bioinformatics PhD Programs with Scholarships

    Computational Biology, Cancer Biology, Bioinformatics PhD Programs with Scholarships

    PhD studies for Graduates in Bioinformatics for the project “Computational methods for detection of cancers and their mutational imprints from sequencing of blood cell-free DNA” is available in the Department of Clinical Medicine, Aarhus University, Denmark (Computational Biology, Machine Learning, Bioinformatics PhD Programs with Scholarships)


    Deadline to Apply

    May 01, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Position
    No. of Position(s)Few positions
    Research Area– Bioinformatics
    – Statistics
    – Computational Biology
    – Machine Learning
    ScholarshipAccording to Standard Norms
    WorkplaceDepartment of Molecular Medicine (MOMA)
    Department of Clinical Medicine
    Faculty of Health
    Aarhus University
    Denmark
    Contract PeriodPreferred starting date 1 July 2021

    Qualifications

    • Master’s degree within bioinformatics, statistics, computer science or a related discipline.
    • Proficiency in at least one programming language is required.
    • Experience with handling of genomics data is advantageous. 
    • Knowledge about or strong interest in statistical modelling is advantageous.
    • Knowledge about cancer biology and cell-free DNA is advantageous.
    • Proficiency in both oral and written English is required.

    Responsibilities

    • You will create new computational methods that combine classical statistical models with modern machine learning (e.g. neural nets) for finding those cancer “needles” in the blood “haystack”.
    • You will both work on developing statistical models for determining ctDNA load and variants from whole-genome sequencing of cfDNA as well as methods for deep, targeted sequencing data.

    How to Apply?

    To apply, please click APPLY ONLINE button mentioned above.

    Documents Required

    For information about application requirements and mandatory attachments, please see our application guide.

    About the Project

    Blood cell-free DNA (cfDNA) is emerging as an important biomarker in cancer. Several studies have already demonstrated how it can both be used to determine whether cancer is present in blood or not, and act as a “liquid tumour biopsy”, which makes it possible to investigate the mutational profile of a tumour. 

    Sequencing is becoming the dominant approach for analysing cfDNA, yet finding signals of cancer let alone specific mutational events is difficult. First, because every tumour fragment is typically outnumbered by thousands of “background” fragments. Second, because technical artifacts originating e.g. from partial degradation of DNA may look a lot like real mutations.

    Note

    All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.   

    Inquiries

    Assistant professor
    Lasse Maretty Sørensen
    E-mail:lasse.maretty@clin.au.dk 

    Associate professor
    Søren Besenbacher
    E-mail:esenbacher@clin.au.dk

    Official advertisement

    Bioinformatics PhD project: Computational methods for detection of cancers and their mutational imprints from sequencing of blood cell-free DNA