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Field
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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, CT, and other imaging techniques. Design and optimize multiparametric models to analyze complex imaging datasets and extract clinically relevant features. Develop and optimize newer clinically relevant
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functionalisation with receptor molecules. Position Overview: We seek a postdoctoral researcher to develop and optimize surface functionalization strategies for optical chips, focusing on molecular recognition
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the manufacturing process allowing for a faster and more precise optimization trough virtual engineering. You will work within a research team comprising two other researchers dedicated to this project
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic
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on the ONR Project “Optimal Transport-based Strategies in Waves and Dynamics” led by Prof. Christina Frederick at NJIT. Essential functions will include research into optimal transport theory to capture
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Will Do: Lead large-scale benchmarking of full-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct
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-stack quantum processing units (QPUs). Develop and validate performance bounds for QPUs beyond brute-force classical simulability. Design and conduct experiments on contemporary quantum hardware platforms
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to the limited time available in the PhD thesis. The present application involves extending this work to characterize devices currently being manufactured at the CEA, as well as designing optimized optical