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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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develop next-generation computational approaches to understand cellular and tissue biology from single-cell, spatial, imaging, and multimodal molecular data. You will develop models that capture cellular
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | about 2 months ago
. Research focus To investigate molecular and cellular mechanisms of anti-tumor immunity and test novel immunotherapy targets using cutting-edge genomic and immunological tools and mouse models. Requirements
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, the Giustacchini group aim to develop stem-cell-based models of paediatric leukaemia to understand how malignant haematopoiesis interacts with the immune system and to improve responses to CAR T-cell therapy. We