189 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" uni jobs at Oak Ridge National Laboratory
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them the ability to work with classified systems and information. Major Duties/Responsibilities: Work independently to provide quality assurance support for implementation of a graded approach to quality
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candidates in the applicant tracking system. Provide information to TAPs to assist with offers and create offer letters. Coordinate with Human Resources Administrators (HRAs) regarding new hires. Maintain
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Requisition Id 16000 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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, infrastructure, and associated system components. Develop software (front-end and back-end), APIs, services, and microservices; design database schemas; manage data flows and storage. Work on deployment
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communicate system conditions to stakeholders. Work with system stakeholders to diagnose system statuses and initiate corrective actions. Trend, analyze, and interpret facility system performance data and
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excellent interpersonal, communication, computer, writing skills, and professional image. Refined teaming skills and understanding and demonstration of effective team collaboration concepts. Ability to multi
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effectively to large or small groups on technical and non-technical issues related to the Technical Security program. Understanding of and experience-based familiarity with information security practices
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing
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key role in managing the flow of information and communications across our organization. In this position, you will: Oversee the management of incoming and outgoing information, ensuring timely and
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performance for datacenter applications, especially Large Language Models (LLMs) Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data