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scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology
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scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology
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Informatics ( DBMI ) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a
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apply these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI
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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric
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apply these methods to address challenges in scientific discovery and precision medicine. We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric
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recordings, (2) whole cell recordings in brain slice, (3) optical recordings in brain slice or in vivo (2-photon rigs are available), and (4) programming. The successful candidate will work with Dr
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collaboration, researching the scientific topics, and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical