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materials on textiles. Develop and optimize plasma deposition processes for tailoring material properties for specific textile functionalities (antibiofilm, repellence, adhesion). Characterize the deposited
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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to optimize collective foraging strategies. Other species rely on ice-covered Antarctic waters for breeding, thereby timing the rearing of young to the availability of specific sea-ice habitats as a birthing
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solvent extraction, membranes, and adsorption, for recycling and purification of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish
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contributions are: Conduct applied research on atmospheric pressure plasma deposition of functional materials on textiles. Develop and optimize plasma deposition processes for tailoring material properties
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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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: Developing and optimizing advanced surfaces using state-of-the-art thin film technologies Characterizing prepared thin films using scanning electron microscopy and surface wetting methods Analyzing and
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase chemistry of
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi