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University of North Carolina School of the Arts | Winston Salem, North Carolina | United States | 6 days ago
*, database/information systems, computer aided dispatch (CAD) system, and related telecommunications equipment. Ability to learn to use one or more databases or information systems to input and access standard
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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California State University, San Bernardino | San Bernardino, California | United States | 14 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Mar-26 Location: San Bernardino, California Type: Part-time Categories: Academic/Faculty Computer/Information
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, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing, or machine learning) Experience working with
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biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis of protein interactions and conformational dynamics
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materials including text(s) and supplemental readings. Conduct three 50-minute study sessions per week throughout the term using strategies learned through the SI Leader training workshop. Regularly meet with
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and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
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enrolls thousands of students in English Language Learning courses, and also serves more service veterans and military-connected students than any other college in the SUNY system. SUNY Suffolk is searching
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records, aiming to co-create practical tools deployable in real-world clinical settings. This work is central to a multidisciplinary collaboration bringing together experts in machine learning, neuroscience