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Field
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networks, and effects of microbiome-modulating strategies Apply state-of-the-art microbiological methods (aerobic/anaerobic culture, quantitative assays, imaging/analytics as appropriate) and coordinate
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phenotyping activities within the SmartWheat project. Plan, organize, and conduct field trials and summer field activities in collaboration with the project management team. Develop pipelines for processing and
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cancer progression in the West lab in the Department of Pathology at Stanford. Successful candidates will use a combination of spatial transcriptomics and highly multiplexed imaging to understand how
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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implementing BCDI, XPCS, nano-beam and time resolved microscopy, PDF, 3D imaging techniques, PCI, and other techniques for advanced characterization of materials across solid-liquid and into melt. Measurements
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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software supply chain. The goal of ShiftLeft is to contribute to a new paradigm shift for securing software supply chains. As a postdoc in the project, you will focus on human-in-the-loop aspects of a self
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to Principal Investigator level. Research areas include: Population neuroscience and multimodal neuroimaging Computational psychiatry and imaging genetics AI and machine learning for brain science Multi-omics
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for Pathology M. Rose: Neuronal Diversity, Omics, and Imaging in Brain Development and Disease H. Park: Breast cancer, epigenetics, environmental exposures, and biomarkers F. Rahmatpanah: Prostate cancer
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acoustic imaging and spectroscopic tools to monitor AM processing of metal alloy and ceramic powders using direct energy deposition and powder bed laser sintering. Familiarity with one or more material