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or applying machine learning or automated detection methods. Experience working with passive acoustic monitoring data; familiarity with other sensor-based data (e.g., camera traps, remote sensing) is also
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable
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Specification: https://www.jobapscloud.com/CT/specs/classspecdisplay.asp?ClassNumber=0782TC&R1=&R3= INTRODUCTION UConn’s Facilities Operations Department has one job opening for Electronic Integrated Control
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of the cells and the management of the energy generated. The ultimate goal is to enable battery-free wireless sensors for smart agriculture and environmental monitoring, demonstrating a sustainable alternative
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quantum sensors, leveraging state-of-the-art electron microscopy facilities at the Condensed Matter Physics and Materials Science Department (CMPMS) and the Center for Functional Nanomaterials (CFN
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combining two of Europe's new satellite sensors. If you have interests in physics, climate and machine learning, this is the Doctoral student position for you! About us Our team is part of the Division
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, electrophysiology in freely moving animals, behavioral quantification using large-array motion capture cameras, and wireless embedded sensors, to record neuronal activity and bodily movements in behaving animals with
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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Sterilization according to department schedule. Exposes & scans digital radiographs using digital sensor or phosphor plate. Minimum Education and Experience: Valid Radiologic Technology license issued by the NJ