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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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expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
for this position will work to develop a conservative machine-learning based sea ice model correction that can be applied to fully coupled climate model simulations. The project will involve: 1) the development of a
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hardware modeling; discrete event simulation for quantum networking; novel auto-differentiation techniques for discretely random processes and circuits; and more. This position is expected to lead to the
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. The successful candidates can choose to work on one of the following areas with Yuansheng Cao and collaborate with multiple researchers across the world: 1. nonequilibrium thermodynamics of biological information
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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secure critical infrastructure for all. Major Duties/Responsibilities: Conduct research on grid resilience assessment methodologies, including modeling and simulation of grid operations under stress
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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Eucalyptus plantations. Forest Ecology and Management, 494, 119275. Cornut I. et al. (2022a) Potassium-limitation of forest productivity, part 1: A mechanistic model simulating the effects of potassium
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marsh vegetation assemblages along environmental gradients and simulate the vegetation dynamics using the Everglades Landscape Vegetation Succession (ELVeS) Model and the Everglades Vulnerability