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  • PhD position in machine learning and oncoviral genomics at CBS, Denmark

    The Center for Biological Sequence Analysis at the Technical University of Denmark is seeking highly motivated candidates for a PhD position within machine learning methods in systems biology. Successful candidates will work in a dynamic team developing, implementing and applying techniques and procedures for high-throughput sequencing and next-gen sequence analysis tools. The candidate will be responsible for implementing different machine learning method based prediction tools for oncoviruses.
    • Candidates should hold a masters degree in bioinformatics, biology, engineering, computer science or similar.
    • The candidate must have strong computational skills and prior experience with Unix/Linux command line environments, SQL, as well as either Perl, Python, Ruby or a comparable scripting language.
    • The applicant must have prior experience with machine learning methods
    • Knowledge of virus biology, NGS analysis and large-scale data mining is considered a plus.
    • The applicant must be a good communicator and strong in written as well as spoken English.


    Interested and qualified applicants should email a brief description of research experience & interests, CV, and contact information for 2 references to Prof. Thomas Sicheritz-Pontén, [email protected]


    The Center for Biological Sequence Analysis at the Technical University of Denmark was formed in 1993, and conducts basic research in the fields of bioinformatics and systems biology. The center is divided into ten specialist research groups, has a highly multi-disciplinary profile (biologists, biochemists, MDs, physicists, statisticians, and computer scientists) with a ratio of 2:1 of bio-to-nonbio backgrounds. CBS represents one of the large bioinformatics groups in academia in Europe.

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