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community at UVA, with active collaborations across the UVA School of Medicine. The lab has full access to UVA's high-performance computing resources and core facilities supporting genomics and imaging
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individually and in collaboration with research partners. Conduct research in developing novel membrane, solvent extraction, and ion exchange processes targeting high capacity and selectivity for the extraction
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research
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high level of scientific productivity Publish scientific papers in key journals and present at key meetings Ensure compliance with environment, safety, health, and quality program requirements Maintain a
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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De Graef’s group in the Materials Science and Engineering Department in the College of Engineering. The postdoc will make use of the experimental and computational tools in the Materials
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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Posted on Wed, 06/10/2026 - 16:43 Important Info Faculty Sponsor First name: Claire Faculty Sponsor Last Name: Wakefield Stanford Departments and Centers: Pediatrics Postdoc Appointment Term: 1 year