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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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collaborators across and beyond Yale University, the fellow will gain broad, hands-on experience in interactive and interdisciplinary teaching with objects; university-level outreach and curricular programs; and
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, cellular biology and signaling, and mouse models of disease, enhancing our understanding of how the allosteric site influences physiology and disease mechanisms. We plan to utilize drug discovery to identify
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well as for candidates with an expert programming background who are looking to move into computational biology. Applicants should send a CV including a list of publications, programming languages, a statement of research
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translational cancer biology research program has helped postdoctoral fellows obtain outstanding career positions in industry and in academia. The Stites lab investigates problems in cancer biology and in cancer
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, including coursework and/or research experience in evidence synthesis. 3. Programming experience using large datasets (e.g., R, Python). 4. Outstanding English written and verbal communication skills, with
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. Design of programs addressing significant AI/ML challenges in medical applications Publish research papers in peer-reviewed journals or conferences in areas relevant to the study Collaborate with other
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present data. The ideal candidate will have strong programming experience (R, Python, bash); working knowledge in Linux/Unix environments; experience in the analysis of large datasets; and a solid
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, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming