Sort by
Refine Your Search
-
Analytical Services (NMAS) Group of the Nuclear and Radiological Protection Division (NRPD) for the Environmental, Safety, Health, and Quality Directorate at ORNL. Major Duties/Responsibilities: Supports
-
another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical Engineering or a related discipline 2 years of experience in data center thermal management analytical, modeling
-
/or SAP. Strong understanding of SAP field mapping, infotypes, data models, and MDF objects. Experience leading testing cycles, system upgrades, and release management. Excellent analytical, problem
-
in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow, PyTorch) Experience with physics-based modeling Strong analytical and problem-solving skills, with
-
knowledge of social media and content management systems. Familiarity with layout and photography, web content management systems, and web analytics is a plus, as well as writing samples on scientific
-
documentation. Demonstrated organizational, analytical, and problem-solving skills, with the ability to manage multiple matters and changing priorities. Demonstrated ability to work in a highly confidential
-
represents expertise in nuclear materials synthesis and analysis, deployment of advanced analytical methods including crystallography, imaging, spectroscopy, physical property analysis, neutron scattering, and
-
. This position resides in the Manufacturing Systems Analytics group in the Digital and Secure Manufacturing Section, Manufacturing Science Division, Energy Science and Technology Directorate (ESTD) at Oak Ridge
-
and analytical instrumentation, developing and documenting laboratory procedures, supporting safe laboratory operations, and providing hands-on training to staff and users. The candidate will help
-
Research Group (IARG) at Oak Ridge National Laboratory (ORNL). The successful candidate will develop and deploy optical spectroscopy-based analytical methods, automated sampling approaches, and integrated