12 software-engineering-model-driven-engineering-phd-position Fellowship positions at Genentech
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clinico-genomic/response data, design training over baseline, on-treatment and post-treatment time points, and model treatment effects with both mechanistic and data-driven components. You will work with
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The Position We advance science so that we all have more time with the people we love. A Postdoctoral Fellow position is available for a highly motivated and independent candidate to join the
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of neurodegeneration with the ultimate aim of targeting them to alleviate disease. A position is available for a postdoctoral fellow with expertise in molecular and cellular neuroscience, iPSC-derived models, and omics
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The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come
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The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology. The postdoctoral position is focused on developing and applying foundational AI models to investigate clinically relevant cancer
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The Position A Postdoctoral fellow position is available for a highly motivated and independent candidate to join our Therapeutic Modalities group at Genentech, under the mentorship of Dr. Claudo
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The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come
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The Position We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in Aviv Regev’s lab to apply develop edge algorithms for analysis of single cell genomics profiles
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discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions