79 algorithm-development "Inserm UMR S 1250" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16869 Overview: We are seeking a Postdoctoral Research Associate to use advanced scanning probe microscopy for the development and application of multiscale excitonic probes. In
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-body systems and development of new neutron sample environment that allows time-resolved neutron scattering capabilities. This position resides in the Quantum Heterostructures Group in the Foundational
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Requisition Id 16612 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of non-ferrous (Aluminum, Nickel, Refractory) alloys
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-efficient building systems, thermal-fluid processes, industrial heating applications, data center thermal management, and other emerging energy technologies. Develop and operate experimental facilities
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will develop materials and processing technologies that will result in a transformational improvement in gallium and Germanium and rare earth magnetic material extraction methods from naturally occurring
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a variety of projects involving internal and external dosimetry and radiation risk analysis The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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Requisition Id 16522 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of cast, additively manufactured, and wrought
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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/Responsibilities: The successful candidate will be responsible for conducting, coordinating, and reporting complex research assignments related to energy conversion systems including: Design and develop experimental
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence