The Garvan Institute invites applicants for a faculty-level position to advance research on cancer plasticity and dormancy, and to lead data science and machine learning initiatives. The role emphasizes independent, high-impact work, collaboration across national and international partners, and a commitment to discovery in cancer biology and immunology.
Applicants should demonstrate a solid publication record, the ability to secure funding, and a track record in ML tool development.
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📌 Pioneering Faculty in Cancer Research & ML (Sydney)
🏢 1000Scholars
📍 Sydney
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