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: - Develop and implement AI models to study and optimize TCR and BCR interactions, enhancing receptor design for improved binding affinity, specificity, and therapeutic effectiveness. - Collaborate with
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mechanistic and structural knowledge on these molecular interactions to enable design and development of protein-based therapeutics and vaccines. Applicants should have at least one first-author publication in
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data. In addition, they will contribute to other Aitken lab projects (Yale and University of Cambridge, UK), and interact with collaborators in the US and Europe. The ideal candidate will have expertise
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required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation
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and include supporting research design and implementation; overseeing data collection and analysis; interacting with internal (postgraduate fellows, research staff based in our affiliated country
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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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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interactions with great collaborators in the UK, Europe and the USA. Responsibilities include: Design, execute, and interpret computational experiments and analyses. Supervision and training of students and