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SPECIFICS Postdoctoral Scholar (Computational Proteomics/Mass Spectrometry) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University
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: Postdoctoral Researcher - Electrical and Computer Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 204
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agoPostdoctoral Position: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology and Immunobiology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and
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Position Title: Postdoctoral Researcher in Machine Learning and Computational Chemistry Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Postdoctoral
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Researcher and Postdoctoral Researcher Positions in Computational Methods for Civil and Environmental Engineering in the field of data-driven and model-driven simulation methods for atmospheric flows, ocean
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Position Description Title: Postdoctoral research position in quantum computing/information at University of Electronic Science and Technology of China (UESTC) Postdoctoral positions are available
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral research position focused on developing AI/ML methods for autonomous materials
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medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with
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learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high