45 electric-machine-design "https:" "https:" "https:" "https:" Fellowship positions in United States
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current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/34487 For questions about the position contact
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reports, and peer-reviewed publications. Required Qualifications: Terminal degree in astronomy, physics, astrophysics, aerospace engineering, electrical engineering, computer engineering, or a closely
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, visit GeorgiaSouthern.edu . Location Statesboro Campus - Statesboro, GA Department Information Electrical & Computing Engineering Job Summary The Office of Research and Innovation (OR&I) and Information
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accurate maintenance of resident and fellow leave, training records, credentialing documentation, and required program files. Ensure Program Letters of Agreement (PLAs) are current, appropriately executed
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— investigating how mechanical forces from focused ultrasound alter immune cell function and tumor microenvironments Acoustic tool development — designing next-generation transducers, wearable ultrasound devices
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artificial intelligence and machine learning (AI/ML) models that predict therapeutic response, identify clinically actionable patient subgroups, and support personalized treatment strategies. Through
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-World Data to Derive Common Data Elements for Alzheimer's Disease and AD-Related Dementias Research Through Ontological Innovation: https://reporter.nih.gov/project-details/11294051 · WONDER
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About the Opportunity Job Summary The department of Electrical and Computer Engineering and Institute for Intelligent Networked Systems (INSI) is seeking a Postdoctoral Research Fellow to work
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Eligibility Requirements Degree: Doctoral Degree received within the last 60 month(s). Discipline(s): Business (11 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches