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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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the following activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support
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in human factors/systems engineering and in implementation science. Dr. Ramly’s research program develops and tests innovative methods for the human-centered design and implementation of systems
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
other sciences. This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
other sciences. This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous
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probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban infrastructure and environment networks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
of new synthetic methods and routes to the target scaffolds and their application to construct new high impact molecules. Research is conducted within the highly collaborative environment of the UNC Center
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wildfire simulations to design and assess scenarios for risk mitigation. For Active-Frie problem domain, we seek candidates with strong background in analytical and computational methods related to physics
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms