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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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of manufacturing variation. Provide recommendations for process optimization and compensation strategies to improve repeatability and accuracy in high-performance applications. Funding Only Home students can apply
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density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing , Holographic
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to provide a synergistic temperature-AQ Early Warning System (EWS) for the UK, as a tool to mitigate such risk. It is an open research challenge and the candidate will be able to decide upon the most optimal
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Methods Recent storms have exposed the vulnerability of power systems, creating pressures at local distribution and national transmission levels. In power systems, different parts work on very different
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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optimization, and advanced simulations, to uncover novel materials tailored for space applications. Key Responsibilities Conduct research in materials, manufacturing, and AI integration. Develop and lead federal
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(HVDC) technology will be used to bundle energy from several windfarms and transport to load centres. Future offshore wind farms are expected to be further optimized either functionally or in
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outstanding individual to be a part of this department and advance scholarship in genomics and transcriptomics research at UTEP, a research-intensive university. Job Description: The Department of Biological