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materials. These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution
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/ head and neck cancer pathology and neurodegenerative-disease neuropathology. Contribute to the tissue-resource infrastructure, digital pathology operations, image-analysis workflows, cross-cohort tissue
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designed to support a sustainable green and digital transition. As a postdoctoral researcher in Human Work Science, you will join a research group in a dynamic research environment that works closely with
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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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laboratory meetings, project discussions, and scientific presentations. Maintain compliance with institutional biosafety, animal care, and research regulations. Qualifications Qualifications PhD in Immunology
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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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include: Understand the extent of existing digital images of text, and how the information locked away in them would advance provenance understanding Acquire additional external data, such as the Getty
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-dimensional documentation and recording of archaeological materials and structures using high-precision 3D scanners and in processing digital models. • Track record of scientific publications in prehistoric
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and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving