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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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processing techniques, such as cold sintering, and requires strong skills in kinetic modeling and experimental design. The candidate will contribute to developing new workflows for electroceramics, optimize
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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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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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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
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method development & optimization: Proven ability to develop, optimize, and validate LC-MS/MS methods for complex sample types. Expertise in extracting proteins, metabolites, and lipids and performing nano
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised
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area of power systems with special interest in power system controls, protection, optimization, and AI/ML applications in power and energy systems. Experience with experiments and hardware-in-the-loop is
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Department offers four different graduate degrees, teaches medical students, and trains residents in Family Medicine and Medicine/Pediatrics. The Department of Family and Preventive Medicine optimizes quality