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to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments. This position offers the opportunity to engage in cutting-edge
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Requisition Id 15663 Overview: We are seeking a Post Doctoral Research Associate who will focus on high fidelity building energy modeling and advanced control. This position resides in
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electron systems. The position will involve a combination of algorithmic innovation, numerical implementation, and collaboration with theoretical and experimental research groups. There is significant
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position in AI for science. As energy consumption is becoming a serious challenge facing large-scale AI data centers, you will work with experts in this area exploring combination of existing techniques
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of formulation, coating methods, and carbonization/sintering process, as well as the design of novel vitrimers for adhesives and fiber reinforced composites. This position resides in the Soft Materials and
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) and scientific imaging. This position emphasizes bridging cutting-edge ML/AI with real-world imaging systems in collaboration with experimental scientists, leveraging facilities such as the
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple
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extensions are subject to performance and availability of funding. Letters of Recommendation: Please submit three letters of reference when applying to this position. You may upload these directly to your
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Duties/Responsibilities: You will be positioned in the Plant Systems Biology Group, which is undertaking broad, integrated approaches to enhance fundamental understanding of genetic controls of plant