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projects. This position requires a strong background in image processing, data engineering, workflow automation, geospatial data systems, and applied analytics, along with experience working in secure
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Requisition Id 16263 Overview: We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems. This position resides in the Multimodal
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a Machine Learning Research Scientist who will support the development of fundamentals for GeoAI imagery processing, self-supervised learning methods for large vision-language models to enable
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training systems, signal processing, and software development. In general, activities involve first-class interdisciplinary research with multiple research groups at ORNL, collaborations with private
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managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Experience with performance and diagnostic tools for benchmarking, analysis and tuning of systems
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mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing
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, mass spectrometry, and image data are required. Understanding and hands-on experiences in vacuum instruments are expected. Skills and hands-on experience in nano- and micro-fabrication of MEMS and
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derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience with geospatial foundation models or pretrained Earth-observation models. Experience with