59 parallel-and-distributed-computing-"UNIS"-"Meta" Postdoctoral positions at Stanford University
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                Posted on Wed, 08/13/2025 - 18:56 Important Info Stanford Departments and Centers: Biomedical Informatics Neurosurgery Epidemiology and Population Health Biomedical Data Sciences Postdoc Appointment 
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                or the interest in learning programming is highly desirable. A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part 
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                measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project comparison. Supporting this program—and this position—are NIH 
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                that the postdoctoral fellow is able to establish some projects for subsequent publication or contribute to the creation of a new research program. The postdoctoral fellow will contribute to one or more of the projects 
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                arterial hypertension using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell 
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                , Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams 
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                equivalent degree from an epidemiology, biostatistics, data science, computer science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing 
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                Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1-3 years Appointment Start 
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                Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within