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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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on the physical layer and MAC layer design for wireless systems, particularly across multiple spectrum bands. The PDA is expected to actively disseminate results through publications in high-impact journals and
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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wireless systems, particularly across multiple spectrum bands. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international
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, architecture, urban planning, energy economics, public informatics, or a related field prior to being hired. Certifications/Licenses Required Knowledge, Skills, and Abilities Required o Professional knowledge in
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration