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instruments. Maintain data loggers and sensors that collect continuous environmental data Provide detailed observations of each crop while generating, recording, analyzing and summarizing data. Data Management
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Essential Application Experience creating data dashboards and visualisation tools for engineering applications. Essential Application/Interview Practical experience in sensor networking and IoT integration
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University of Technology Cottbus–Senftenberg (BTU) brings together cutting-edge research and technology transfer at an international level, thereby creating an interdisciplinary innovation network and an
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responsibilities. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2
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Chilled Water Plant Posting Number C260030 Posting Link https://www.ubjobs.buffalo.edu/postings/61778 Employer State Appointment Type Classified Appointment Term Permanent/Contingent Permanent Classified
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annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
to support growth in sectors such as healthcare, telecommunications, advanced manufacturing, and sensor networks. The position is available at Tyndall National Institute in Cork. Project Description
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Job related to staff position within a Research Infrastructure? No Offer Description Background CUSTOM is an EU MSCA Doctoral Training Network connecting relevant academic and industrial expertise in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaching School : Grenoble INP – ENSE3 School website: http: https
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics