126 software-verification-computer-science Postdoctoral research jobs at Stanford University
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the Department of Radiology, Division of Interventional Radiology, at Stanford University is seeking a highly motivated postdoctoral fellow with expertise in biomedical engineering or a related field. The lab
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: Biomedical Informatics Research (BMIR) Ped: Developmental Behavioral Postdoc Appointment Term: A postdoc term is usually 2 years, though this may vary. Appointment Start Date: Funding for this position is
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford
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computational biology — or a strong interest in developing skills across these areas. A collaborative mindset and enthusiasm for both experimental and computational work are essential. The Hynes Lab is located in
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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Posted on Mon, 11/11/2024 - 12:40 Important Info Faculty Sponsor (Last, First Name): Qiu, Xiaojie Stanford Departments and Centers: Genetics Computer Science Postdoc Appointment Term: Initial 2
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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fleet, and vendor collaboration with GE Healthcare. Personal ideas and collaborations with other groups in the Stanford Radiologic Sciences Lab are encouraged. Current collaborators include Dan Ennis