270 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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: Help serve as sponsor for HSPD-12 badges within the USAccess system. Greet and receive visitors (in person and over the phone) in a professional, courteous manner. Distribute program information
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Understanding of Programmable Logic Controllers and the ability to use them as an operator as well as determining if they are not running properly Special Requirements: Work involves various physical requirements
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drug testing program. HSPD-12 PIV badge: This position requires the ability to obtain and maintain an HSPD-12 PIV badge. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL
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, safety, health, and quality program requirements. Daily manage the ORNL Postdoc and ORNL Recruiting email inbox and promptly upload documents from the inbox to SuccessFactors ATS. Perform other duties as
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the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal
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. In this multi-institutional cross-disciplinary center, the successful candidate will engage with a network of universities, national laboratories, and industrial partners to develop a scientific
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amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k
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to specifications using precision instruments. Read and understand Geometric Dimensioning & Tolerancing (GD&T) and technical drawings. Program, set-up and operate Coordinate Measurement Machines (CMM) and utilize a
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happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models