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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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interactions; stellar oscillations and tidal interactions; modelling or observations of electromagnetic counterparts and tidal disruption events; gravitational-wave astrophysics. Depending on the candidate’s
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models. Current treatment strategies for HBV are life-long and rarely curative. Finite antiviral and immunomodulatory therapeutic strategies are being pursued for an HBV functional cure to treat the 254
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of dissipation in magnonic systems. Develop theoretical models to describe and optimize the control of magnon dissipation via feedback. Collaborate with the experimental team to validate these models and propose
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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responsibility. 3) Scientific analysis and interpretation: - Develop advanced analysis methods to quantify bedload transport: full responsibility. - Interpret results and propose explanatory models: primary
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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interdisciplinary projects to accelerate geoscientific research by building an open science community and services for biomarker researchers and by building and using lake model emulators. The postdoc will lead the
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision