69 front-end-development Postdoctoral positions at Stanford University in United-States
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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the United States as well as clinical imaging and testing data from Stanford. Project themes will include developing models using EHR data to predict outcomes in ophthalmology and glaucoma, as well as investigating
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available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics and
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University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Center for Sustainable Development and Global Competitiveness (SDGC
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through Stanford University, with experience in Vascular Biology to work on a project investigating the transgenerational impact of e-cigarette vaping on the development of abdominal aortic aneurysm
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. They are also expected to participate in professional development, cohort-building, and other programmatic activities organized by HAI. Evaluation Criteria Alignment between candidate’s research interests and the
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lagoon and surrounding off-shore region. The project will also engage closely with Stanford Robotics to develop approaches for assessing deep water wrecks, supporting the development of the next generation
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nano-mechanics, and machine learning as it applies to the field of computational mechanics. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship