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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused
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discoveries. Who You Are: Ph.D. with a proven track record of excellence in Computer Science and Machine Learning, with substantial domain experience in biology and genomics. Must have advanced at least one key
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the laboratories of Dr. Jason Rock in the Department of Ophthalmology and Immunology and Dr. Sören Müller in the Computational Sciences Center of Excellence at Genentech. The Rock lab combines in vitro and in vivo
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antigens, T cell receptor (TCR) and antigen interactions and their crucial role in anti-cancer immune responses. You'll leverage your strong background in computational biology, machine learning, and
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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The Position A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS) organization, which develops and applies best in class computational methods
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author paper published or accepted in peer-reviewed journals. Computational skills, retinal in vivo experience, or omics experience would be advantageous. Expertise in retinal disease modeling especially
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access to state-of-the-art analytics and a robust cross-functional scientific community. The Opportunity: You will be part of the Genentech post-doctoral training program that provides an outstanding
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-throughput functional screens, and computational biology. They will deploy single cell genomics and spatial transcriptomics approaches to uncover new tumor-TME communication patterns, deploy therapeutic