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of such use cases and applications compiling algorithms for use on early-generation hardware. We also encourage applicants interested in other quantum technologies such as quantum sensors and simulators, and
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their glial niche. Genetically encoded, fluorescent metabolite sensors will be used to study the underlying metabolite dynamics. The work will also incorporate various molecular biology techniques, as
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: Design, optimise, and operate ultra-cold atom interferometry experiments for multi-axis acceleration measurements. Develop methods to suppress drift and enhance sensor stability for extended-duration
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complicates both learning and inference processes. Another challenge is that dynamic structured data are generated by a variety of sensors and infrastructures that continuously produce, disseminate, and store
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, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
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their glial niche. Genetically encoded, fluorescent metabolite sensors will be used to study the underlying metabolite dynamics. The work will also incorporate various molecular biology techniques, as
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. Key Responsibilities Lead AI/ML algorithm development for predicting plant water and nutrient uptake under varying environmental and growth conditions. Analyze multi-source data, including aerial and
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cooling one and validation against the experimental data collected in the Thermal laboratory; (ii) Use of the validated simulation model for implementing a suitable control algorithm for ejector-equipped
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Fundamental Studies of Transduction Phenomena for Microscale and Nanoscale Chemical/Biochemical Sensors NIST only participates in the February and August reviews. Sensors are typically designed
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) Design robust obstacle avoidance algorithms for mobile robots in dynamically changing environments, focusing on formal safety constraints and real-time performance in unpredictable conditions. b) Develop