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Field
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Spectroscopy (dwSCOS) sensor for non-invasive microvascular monitoring. 2. Perform Monte Carlo simulations for optical modeling of photon propagation in layered tissues. 3. Fabricate and characterize dynamic
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
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assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKEGRILL4 [#29668] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines
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research in areas of concrete decarbonization, utilization of marginal and nonconventional pozzolans, prediction and mitigation of alkali-silica reaction, and development of sensors for assessing concrete
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
of Nuclear Science invites applications for a postdoctoral research position. Our group has leading roles in the sensor design and the R&D for the test and characterization of novel wafer-sized 65nm stitched