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for personalizing either Ti6Al4V, CP Ti, or SS 316 alloy fixation plates. This person will assist a HAMMER GRA implement feedback between Virtual Surgical Planning (VSP) that includes device design and optimized
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the optimization of High- Throughput RNASeq capabilties. The successful candidate will help design and execute next- generation RNASeq experiments with the goal of significantly reducing the cost and increasing
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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based electrophysiology laboratory for awake mouse studies, including microfabrication, electrode integration and optimization of laboratory best practices. At least 3 years of experience with
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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the current state of knowledge on specific drugs’ PK and PD properties and on state-of-the-art approaches for study design optimization, dose individualization, and PK/PD modeling and simulation. Frequent
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protocols of interest are 61, 62 (bioburden testing), 71 (sterility testing), and 85 (bacterial endotoxin testing). The researchers will be asked to optimize lab-specific protocols and run the protocols at a