University of Cambridge is inviting applications for a Research Associate to work on machine-learning approaches that connect regulatory DNA sequences to gene expression dynamics in plants. You will develop models, test them against time-resolved data and single-nucleus RNA sequencing, and work closely with experimentalists.
The role involves exploring DNA foundation models, evaluating modelling approaches, and guiding experiments to test regulatory features under environmental and circadian
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Research Associate: AI for Gene Regulation in Plants in Cambridge employer: University of Cambridge
The University of Cambridge offers a dynamic and collaborative work environment, particularly within the Department of Oncology, where you will play a pivotal role in advancing cancer research. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work alongside leading experts in the field. The university's commitment to innovation and excellence ensures that your contributions will have a meaningful impact on clinical care and research outcomes.
