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multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise
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of postdoctoral training. Write scientific manuscripts describing research findings. Attend national and international meetings to present research findings, learn about the latest advances in the field, and
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Center for Healthy Aging Research (CHAR) Department Institute for Health, Health C Salary Details A minimum
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direction and daily operational oversight for pre-doctoral, graduate, and faculty dental clinics. The successful candidate will Provide strategic leadership and management for all pre-doctoral, postdoctoral
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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May Substitute For Minimum Education. Certifications/Professional Licenses: No specific certification/professional license is required for this position. Work Experience: Postdoctoral (3 Years) Skills
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Dr. Teague Henry at the University of Virginia invites applications for a post-doctoral research associate with expertise in intensive longitudinal data, machine learning, and digital intervention