69 software-defined-network-phd Postdoctoral positions at Oak Ridge National Laboratory
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success. Basic Qualifications: A PhD in mechanical engineering, manufacturing engineering, industrial engineering, materials science and engineering, mechatronics, electrical engineering, controls
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of next-generation semiconductor devices. The candidate will collaborate with researchers across CNMS, ORNL, and the broader NSRC network working in materials synthesis, device fabrication, theoretical
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities: The successful candidate will interact with a team of scientists and engineers at ORNL in
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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, collaborate with interdisciplinary teams, publish in leading scientific venues, and contribute to emerging QHPC software and system technologies. Major Duties/Responsibilities: Develop and evaluate
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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Requirements: The prospective candidate should be well-versed with deep neural networks, have experience working on PyTorch or similar DL frameworks, programming in Python (preferred), NLP packages and pipelines
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations