12 assistant-professor-and-human-computer-interaction Fellowship positions at Genentech
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The Position The Opportunity: We are seeking a highly motivated postdoctoral research fellow to study bacteria-host interactions in Man-Wah Tan’s group in the Infectious Diseases and Host-Microbe
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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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human disease, and developing and applying new computational algorithms to decipher it Enjoy working closely and collaboratively to solve complex biological problems Able to lucidly present complex
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to the most relevant scientific problems across all stages of the pipeline. This position will be a joint mentorship between the departments of Computational Biology and Human Genetics to study the genetic
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computational, the project is highly collaborative, involving regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area. The Opportunity: Opportunity to work closely with
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. The Lamba lab is interested in understanding retinal disease pathogenesis using human stem cell and animal based models. (Kandoi et al. Elife 2024, Chirco et al Stem Cell Reports 2021, Neves et al. Science
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that have the potential to impact human health, for a joint Postdoctoral Fellowship in the Riggi and Murrow labs within the Department of Cellular and Tissue Genomics (CTG) at Genentech. This Postdoctoral
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genomics and core ML/AI modeling. You will be able to interact and work in partnership with collaborators from very strong human genetics and cellular genomics departments. You will be part of the Genentech
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candidates lacking either skillset will be considered. This position will collaborate extensively with scientists in other departments in particular Computational Sciences, Neuroscience, and Human Genetics
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by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences