MS/PhD Positions in South Korea – Biology, Neuroscience, Biotechnology

    MS/PhD Positions in South Korea - Biology, Neuroscience, Biotechnology

    MS Positions/ PhD Positions in metabolism regulate mammalian aging and longevity at organismal level – The kyung lab, Dong – A University.

    Open Positions in the Kyung lab


    Deadline

    Open Position


    Position

    MS Position

    No. of Position(s)

    1

    Research area

    • Biology
    • Neuroscience

    Scholarship

    According to Standard Norms

    Workplace

    The Kyung lab
    Dong-A University

    Contract period

    Not Specified

    Inquiries

    Kyung Hwa Kim
    E-mail:kyungkim@dau.ac.kr

    Qualifications

    We are actively in search of motivated and talented graduate students and undergraduate students to join us.

    Responsibilities/Job Description

    • understanding how mitochondria crosstalk with nucleus to protect cells against stresses linked to aging (see Kim et al., Cell Metabolism, 2018),
    • identifying therapeutic effect of fasting for age-related diseases including cancer (see S Di Biase et al., Plos Biology, 2017),
    • developing novel drug target for neurodegenerative diseases (see Kim et al., Toxins, 2019; Kim et al., Frontiers in Aging Neuroscience 2019),
    • understanding common mechanisms underlying the pathogenesis of age-related diseases including neurodegenerative diseases (manuscript in preparation),
    • developing novel therapeutic strategy for reprogramming of energy metabolism to extend healthspan (in progress).

    How to Apply?

    To apply, please click the Send E-mail Button mentioned above.

    Documents required

    CV

    About the lab

    • The Kyung lab is interested in how metabolism regulate mammalian aging and longevity at organismal level. They also have a strong interest in developing novel molecules that may slow or even reverse main aspects of aging as well as prevent or treat a wide array of age-related diseases.
    • The lab employs both wet molecular techniques and dry computational approaches to understand mechanistic insight for biological processes to extend healthspan.

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