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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
initiative. This cluster unites the Lampe Joint Department of Biomedical Engineering, the Department of Computer Science, the Department of Neurosurgery, and DSS to build a collaborative, interdisciplinary hub
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
initiative. This cluster unites the Lampe Joint Department of Biomedical Engineering, the Department of Computer Science, the Department of Neurosurgery, and DSS to build a collaborative, interdisciplinary hub
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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. Graduation from an accredited Surgical Technology program or equivalent military training in Surgical Technology. Minimum of three (3) years of recent experience as a Surgical Technologist in a Level 1 or
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/jobsharingredirect/806163/post-doc-in-advanced-analyt… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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Mechanical Engineering, Master in Robotics and Intelligent Systems, Masters in Industrial Automation Engineering 4. Other Requirements: The candidates must have attended at least one computer vision-related
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computer vision for orthopedic imaging · Clinical informatics and outcomes research in orthopedics · Precision medicine and personalized approaches to MSK disorders · Biomechanical modeling
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October 2029. Job description The post doc position focuses on research questions related to data integration and visualisation (e.g. digital twins) at the interface between agricultural and biological
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continuous improvement initiatives to improve workflow, reduce waste, and support operational excellence. Collaborate with physician leadership, nursing, advanced practice providers, engineering, facilities