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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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-on experience in optimizing extraction processes and characterizing bioactive ingredients from various biomass. Demonstrated competence in purification/isolation and structure elucidation of pure natural products
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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management
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Assistant will help with the development of a new stellarator experiment in the Columbia Plasma Physics Laboratory. The assistant will be responsible for using and developing the numerical optimization
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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of performance, speed, and precision. Key Responsibilities: Design and implement genAI models for embodied AI systems. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks
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tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
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tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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screening. The researcher will prepare DUS–tRNA complexes for structural analysis using single-particle cryo-EM. He/she will perform sample screening and optimization for cryo-EM data collection and analyze