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Field
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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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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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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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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
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260033F Position Title
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to undertake high-impact research in computer security, with a particular focus on advancing methods for analysing and securing system telemetry and provenance data. You will work closely with leading
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chemical biology, analytical chemistry, mass spectrometry–based omics, advanced imaging, and in vivo models to define the fundamental mechanisms governing brain lipid metabolism. Baylor College of Medicine