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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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. The successful candidate will be joining the Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell. The group has several active research topics focused on hot-vapor quantum sensors, including
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precision. By harnessing quantum phenomena such as superposition and entanglement, quantum sensors can detect minute variations in observables such as magnetic fields, electric currents, temperature
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engineering student to help rethink how environmental sensors are deployed in the field, particularly in challenging aquatic environments. This work focuses on the design and fabrication of low-cost, robust
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Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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. Description: An array of emerging quantum instruments uses laser-cooled atoms as precision sensors. The potential impact of these technologies, such as atom interferometer gravimeters and Rydberg-atom RF
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within the scope of the project: 1) Development of multi-channel electronic light sensor devices, using microcontrollers with IoT communications, for measuring the visible light spectrum. Development and
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methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop
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Mixed Field Neutron and Gamma Ray Sensors for Precision Farming School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell, Dr Rhiannon Jones Application