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economics and seeking hands-on research experience before graduate school. Research Areas • Tariffs and trade policy • Stablecoins and digital currencies • Optimal policy design in open economies • Broader
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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developing Python software and optimization workflows in Pyomo/PyROS is desired. This is a fixed-term position of up to 6 months and is inclusive of competitive salary and full-time benefits. The starting date
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and quantum annealing for physics-driven optimization problems is also part of the research portfolio. Detector R&D for future facilities, leveraging Purdue’s infrastructure for detector development
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cancer therapeutics. Experience in cell-based therapeutics is preferred. The Postdoc will develop and optimize novel dendritic cell and T cell therapies against cancers using sophisticated immunogenomic
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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vivo experiments as needed Collaborate with formulation, research and GMP arms to pursue optimal mRNA designs, lipid formulation, and processes Write laboratory standard operating procedures for assays
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the design, development, and optimization of next-generation materials and structures across the following research categories: Materials Design, Reactive Systems, and High-Temperature Composites Development
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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