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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Jan-26 Location: Baltimore, Maryland Type: Full-time Categories: Academic/Faculty Internal Number: 2500014I Job Description JOB OVERVIEW We are seeking a highly motivated and skilled post-doctoral researcher to...
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Post-Doctoral Fellow - Cardiac Surgery - (2500014I) JOB OVERVIEW We are seeking a highly motivated and skilled post-doctoral researcher to join our interdisciplinary team for an exciting project
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Position Overview School / Campus / College: College of Engineering Organization: Industrial & Systems Engineering Title: Postdoctoral Scholar-AI Applications in Food Processing and Supply Chains
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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
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(CO2) conversion processes and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will contribute
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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Postdoctoral Research Associate (Electrical and Computer Engineering) Posting Number req24681 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation