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Field
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of medicine and engineering, with an emphasis on precisely controlling biomaterial functionality and architecture to treat diseases, control cell behavior, or answer fundamental biological questions. Our
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with next-generation computing architectures. Main Tasks and responsibilities: Perform research related to the fields of: advanced memory concepts; voltage control of magnetism; interplay between surface
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experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time
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on HPC computer architectures and deliver them as user-friendly software to meet DOE experimental facility needs. We’re here for the same mission, to bring science solutions to the world. Join our team and
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. · Develop and characterize novel electrode materials, electrolytes, or battery architectures. · Utilize advanced electrochemical techniques (e.g., CV, EIS, GITT, PITT) and materials characterization tools
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convolutional-neural-network architecture for crop classification. Applied Sciences, 11(9), 4292. Bhattacharya, S. & Pandey, M. (2024). PCFRIMDS: Smart Next-Generation Approach for Precision Crop and Fertilizer
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, the Theory of Superconducting Quantum Devices group specializes in quantum computing and quantum optics in circuit QED, a leading quantum computer architecture. Areas of interest include but are not limited
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, but also has applications in bio-inspired design for architecture. They study how polyploidy impacts the patterning of cell size in the plant epidermis. A recent Cornell Chronicle article highlighted
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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systems, urban technology, networks science, information, decision and complex networks, computational and infrastructure intelligence, revenue and finance, complex systems architectural design framework