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rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial pharmacology, and computational/AI approaches to map, model, and reprogram how cells
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-omics discovery. The fellow will help develop and apply computational approaches to study heart failure mechanisms and therapeutic targets using large-scale human datasets, including cardiovascular
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to the laboratory and program teams. Monthly in silico primer and probe checks, evaluating existing dPCR assays against accumulating sequence data to detect mismatches arising from pathogen evolution. Routine
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control at the ER. This position offers substantial opportunities for scientific independence and creativity. The successful candidate will help shape the direction of the project, develop and apply
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them to develop prediction models for patient safety events. In addition to priority projects, the Postdoc will have the opportunity to work with other researchers both at Stanford and within our larger
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Postdoctoral Affairs. The FY27 minimum is $79, 056. We are seeking a well-trained postdoctoral scientist who is motivated to develop and apply expertise in neuroimaging-informed biotype trials for precision
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affordance‑driven decisions. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co
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responsibilities Research leadership. Co-design and co-lead research projects, from study conception through dissemination. Technical development. Advance methods such as retrieval-augmented generation, source
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career development will be tailored to each scholar and their specific goals and interests. Qualified applicants must have research training in epidemiology, population genetics, and/or computer science
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determining astrocyte neurotoxic and neuroprotective phenotype. Basic research concepts studied in the laboratory are being applied to the development of novel gene therapy vectors for the treatment of retinal