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the subject line. Instructions to upload documents to your candidate profile: Login to your account via jobs.ornl.gov View Profile Under the My Documents section, select Add a Document Security, Credentialing
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date Expected End Date Contact Information for Candidates Dr. Sakthivel
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basic and applied research in support of the Laboratory’s missions. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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health, safety and security threats, both foreign and in the U.S. Whether diseases start at home or abroad, are chronic or acute, curable or preventable, human error or deliberate attack, CDC fights
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molecular biology techniques. In vivo testing using animal models Perform experiments to evaluate the biodistribution and efficacy/safety of nanoparticle formulations. Interpret data with advanced methods
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background check (non-security sensitive) Number of Vacancies 1 Target Hire Date 8/24/2026 Expected End Date Contact Information for Candidates Stepen Adamo Assistant Professor, Psychology [email protected]
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background check (non-security sensitive) Number of Vacancies 2 Target Hire Date Expected End Date Contact Information for Candidates Dr Shanna Hamilton [email protected] Open Date 8/4/2026 Open Until
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. Responsibilities Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project. Configure and coordinate the Fed-BioMed platform at participating centers. Ensure data security, privacy
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical