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Field
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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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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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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
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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of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions. The successful applicant will be employed by
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environment,- you would like to focus on research and practical work with optimal number of classes,- you want to gain knowledge and skills necessary to have impact on the world,- you want your answer
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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, and not afraid to tackle technically challenging problems or optimize new protocols. You are eager to integrate neurobiology, immunology and technology to build and validate innovative pain NAMs based