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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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, machine design, materials engineering, and production engineering expertise. The selected doctoral researcher will join the Machine and Vehicle Design (MVD ) research group. This group leads the way in
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and for the application of educational technologies and tools; will also collaborate with the team in providing training and technical support on digital learning. Minimum Education and Experience
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mostly at NIST’s Beamline for Materials Measurements with the intent of develpoing methods to leverage machine learning and artifical intelligence tools to enhance and automate beamline operations. Some
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off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 16 days ago
shape the next generation of agentic AI tools for biomedical research. A highly interdisciplinary environment connecting AI, computational biology, human–computer interaction, and research software
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team of 12 technical staff. The mechanical workshop has a range of machinery including conventional workshop equipment (lathes, mills etc.) CNC machines, 3D printers and other tooling. The role holder is
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
equipment inventory. Support the surveying course, including in the use of GIS software and field data collection tools. Assist with data collection, processing, organization, and management from both
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biographical information on individual, foundation, and corporate donor prospects, alumni, and current donors. Use industry standard reference sources and databases, prospect research tools, public records, and
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas