The University of Cambridge invites applications for a Research Associate to join Professor James Locke's group at the Sainsbury Laboratory. The post will develop and apply machine-learning approaches, including DNA foundation models, to study how regulatory DNA sequences influence gene expression dynamics and cell-to-cell variability.
You will build and evaluate computational models linking promoters and regulatory elements to expression, test predictions with quantitative data, and work
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Machine Learning Research Associate — Plant Genomics & Gene Expression 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.
