11 parallel-computing-numerical-methods Fellowship research jobs at Genentech in United-States
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) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within
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profiling experiments and applies advanced computational methods to derive actionable biological insights. This is a hybrid computational and wet lab based postdoctoral position. The Genentech scientific
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. Creating a world where we all have more time with the people we love. That’s what makes us Genentech. Are you a highly passionate computational biologist looking to make a significant impact in cancer
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within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record of innovative scientific
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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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) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within
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The Position A Postdoctoral fellow position is available for a highly motivated and independent candidate to join the laboratory of Dr. Sara Mostafavi in the Department of Computational Sciences
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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