361 fully-funded-phd-program-computer-science-eth positions at Oak Ridge National Laboratory
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program with a minimum of 5 years of journeyman experience or 10 years of documented experience in the crane and rigging industry. Ability to operate all types of load handling equipment including, but not
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on-site execution of program security requirements for assigned Special Access Program (SAP) program(s), to include designing and successfully conducting a security program which ensures compliance with
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documentation, and regulatory records. Provide engineering overview of all mechanical utilities complex projects.Assist in the development and implementation of the utilities training program. Perform other roles
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ability to deal effectively with a variety of individuals at all levels Must have high level of organization and computer skills, working knowledge of PC, Microsoft Office (Word, PowerPoint, Excel, Access
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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work closely with the ORNL Isotope and Enrichment Project Director and the Infrastructure Program Manager within ISED. ORNL is the largest DOE science and energy laboratory, conducting basic and applied
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that accelerate discovery across open science, laboratory research, and secure computing missions. Applications are reviewed on a continual basis as new opportunities arise. Major Duties and Responsibilities
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment