DTU Postdoc Position in Bayesian Analysis, Health Technology, Bioinformatics Jobs

    DTU Postdoc Position in Bayesian Analysis, Health Technology, Bioinformatics Jobs

    Postdoc Position in Bayesian Analysis of Childhood Asthma is available at the Section for Bioinformatics, DTU Health Tech, Denmark (Health Technology, Bioinformatics Jobs)


    Deadline to Apply

    Apr 28, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc Position
    No. of Position(s)1
    Research Area– Bioinformatics
    – Genetics
    SalaryAccording to standard norms
    WorkplaceDTU Health Tech
    Technical University of Denmark
    Denmark
    Contract Period2 Year
    Starting dateNot Specified

    Qualifications

    • PhD degree (or equivalent)
    • The applicant must have strong computational skills, and a solid background in bioinformatics and genetics. It is required that the applicant has experience both in general purpose programming languages (e.g., Python or C++) and in probabilistic programming languages (e.g., Stan or Pyro)

    Responsibilities/ Job Description

    The focus of the project is Bayesian statistical modelling of pediatric asthma. The aim of the project will be to integrate multiple types of data (genomic, microbiome, demographic, patient records, pathway, protein-protein interaction data, etc) in a systems biology framework to investigate the molecular mechanisms underlying the development of childhood asthma.

    How to Apply?

    To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file.

    Documents Required

    Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include:

    • Application (cover letter)
    • CV
    • Academic Diplomas (MSc/PhD)
    • List of publications

    All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

    About Research project

    With respect to the impact of genetics, we have a special interest in the detection of interactions and epistasis: Most GWAS studies focus on single nucleotide polymorphisms (SNPs) one at a time. However, the biological reality is likely to be that traits are typically influenced by the combined impact of several SNPs, each having a weak effect. An important part of the present project will be to develop methods for detecting such sets of interacting SNPs using methods from within the Bayesian, probabilistic modeling paradigm. The aim is to explore both hypothesis-free approaches as well as methods based on understanding of the investigated biological systems (e.g., basing the search for SNPs on knowledge of biological pathways or protein-protein interaction data)

    The use of mechanistic, Bayesian models (e.g., using the probabilistic programming language Stan) will be an important tool.

    Note

    If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark

    Inquiries

    Professor Anders Gorm Pedersen
    E-mail: agpe@dtu.dk

    Official advertisement

    Postdoc in Bayesian Analysis of Childhood Asthma

    Post expires at 8:59am on Thursday April 29th, 2021 (GMT+9)