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Field
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heterogeneity to reduce the potential of tumor antigen escape, overcoming the suppressive tumor micro-environment to improve CAR T cell function, monitoring tumor trafficking, optimizing CAR T cell route
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geometries, and optimization of surface and volumetric meshes. The fellow will also develop and evaluate multiphysics computational models coupling microwave electromagnetic energy deposition with bioheat
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, texture profile, and other key techno-functional properties. Learning Objectives: Under the guidance of a mentor, the participant will learn to: develop and optimize procedures for extracting plant proteins
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sector coupling across electricity, heat, and fuels, including Power-to-X pathways (e.g., hydrogen and synthetic fuels). Design and apply advanced optimization and control methods, including model
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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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combination immunotherapies. Development of NK cell and CAR-NK cell therapies. Building on advances in cellular engineering, we develop and optimize NK cell-based immunotherapies, including chimeric antigen
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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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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
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and