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Postdoctoral Researcher – Automation for Small-Scale Water Treatment The VersaWater collaboration, led by Cornell University and supported by the National Science Foundation’s Convergence
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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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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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automated tools such as Deep LOGISMOS. Analysis of clinical biomarkers, including linking OCT-derived features with visual acuity outcomes in patients treated with anti-VEGF agents or corticosteroids. Subject
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Grid Automation and Controls Group of the Power Systems and Engineering Center
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implementations for agentic AI, LLM deployment, and automated laboratory integrations (e.g., self-driving labs). Facility Support & Training: Dedicate a portion of time to general ALCF user support, including
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at the University of Chicago, automating screening protocols in partnership with Argonne National Laboratory Drive research at the intersection of automation, robotics, generative AI, and computational simulations
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solidified artificial intelligence (AI) as a key science accelerator, especially in concert with automated techniques for sample creation, movement, and evaluation. However, the flexibility and intelligence
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research