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Field
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
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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 their
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, Quantum Information , Quantum Optics , Quantum Optics and Quantum Science , Quantum Science , Quantum Sensors Appl Deadline: none (posted 2024/10/25) Position Description: Apply Position Description What
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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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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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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