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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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. Services may not be optimally aligned with population need, particularly for underserved groups, leading to inequitable access, avoidable demand, and poorer health outcomes. The lack of structured assessment
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potency, selectivity, and mechanism using in vitro and cell-based OGT assays. Optimize pharmacokinetic (PK) properties, including solubility, metabolic stability, and permeability, to advance hits toward
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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, fabrication, optimization and experimental characterization of polaritonic waveguides, polariton lasers, cavity/waveguide networks, and polaritonic circuit elements. The role includes developing and operating
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calibrating them against established literature and comparing them with empirical data from fabricated components. Collaborate with the fabrication team to diagnose sub-optimal performance by identifying
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research technicians and coordinators. Responsibilities Reporting to the Principal Investigator, Dr. Rachel Eddy, the incumbent will be responsible for: Development and optimization of rapid pulse sequences
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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. Analyze and interpret data to make informed recommendations for costal protection system design and optimization Writing and publication of results in peer-reviewed journals Assist in securing external
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and Research IT teams to expand effective utilization of Georgia Southern's Talon HPC cluster, with particular emphasis on GPU-accelerated AI/ML workloads Design and optimize workflows for shared HPC