PhD Studentship: Next-generation machine learning for genetic interaction prediction…

دربارهٔ این موقعیت

Background Cancer cells often depend on specific genes to survive, making those genes attractive drug targets. CRISPR screens knock out genes to measure their importance for cancer cell survival, and large efforts such as DepMap and Project Score have mapped individual single‑gene dependencies across many cancer models. However, single‑gene studies miss vulnerabilities that only appear when two genes are disrupted together. These genetic interactions (GIs), including synthetic lethality, are a rich but under‑explored source of oncology targets. As testing ~400 million gene pairs is infeasible,

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مهلت و روش درخواست

درخواست تا 8 دسامبر 2026 (26 روز از امروز) باز است. درخواست را در صفحهٔ رسمی بفرستید؛ PhD Atlas درخواست جمع نمی‌کند.

فراخوان رسمی را بخوانید و درخواست بدهید

فراخوان رسمی: https://www.jobs.ac.uk/job/DTL177/phd-studentship-next-generation-machine-learning-for-genetic-interaction-prediction-with-lab-in-the-loop-validation-in-pancreatic-cancer

همیشه فراخوان رسمی و قواعد تابعیت را پیش از درخواست بخوانید.