330 programming-"https:"-"https:"-"https:"-"Tilburg-University" positions at Oak Ridge National Laboratory
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, health, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
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purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy
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contractor maintains a safe working environment for all personnel. Observe construction operations to ensure subcontractors follow safety programs, procedures, field construction activity hazard analysis, and
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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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aspiration to be a key player in establishing a vibrant public-private fusion partnership program in the US. Responsibilities will include developing partnerships with the private sector that leverage and
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: Act as an ambassador at national and international forums, licensing association meetings, and industry events. Support Collaborative Initiatives: Manage commercialization for large-scale DOE programs
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Specialist will work as part of a team on the Oak Ridge National Laboratory’s SCIF Technical Security Program regarding technical surveillance countermeasures and TEMPEST activities. This position combines
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, mentorship of junior staff, and the ability to influence program direction through data-driven engineering judgment and recognized subject-matter expertise. Key Responsibilities: Independently lead and perform
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, analysis and visualization technologies, programming systems and environments, and system science and engineering. The Data and AI Systems Research Section has capabilities in the following areas: Learning