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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Associate. This postdoctoral researcher will work under the supervision of Prof. Bo Ji and Prof. Lingjia Liu, conducting research on immersive communication/computation-aware optimization of next-generation
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publication record - The ability to carry out experiments independently, including troubleshooting, optimization and reporting results Create a Job Match for Similar Jobs About University of Minnesota Twin
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excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Mechanical Engineering at The Pennsylvania State University is seeking a Postdoctoral Scholar in the Engineering Design Optimization Group
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optimization and ODE-based modeling Strong communication skills to interface with experts within the ATN, document the software and publish the results in the peer-reviewed literature Instructions Applicants
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for experimental applications Develop and optimize protein-based reporters Design and refine protocols for in vivo gene and mRNA delivery Perform imaging and histological analysis of experimental samples Quantify
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for the fundamental understanding and engineering design of safe autonomy for autonomous vehicles. The post-doctoral researcher should have a strong background in autonomous vehicles, optimal control, differential
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants). Develops and optimizes scan sequences to enable quantitative in vivo MRI