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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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-Edge-Cloud Telecom Network Slicing Reconfigurable Intelligent Surfaces Joint Communication and Sensing Software Defined Networks and Network Virtualisation Network Infrastructure Sharing / Routing
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of introducing Software-Define technologies into wireless sensor networks (WSNs). Since SDN was initially designed for traditional wired and wireless networks, using its new paradigm for WSNs would pose challenges
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indoor environmental quality and energy modelling in a range of building types and sectors and for different occupancy profiles to quantify indoor environmental exposures in the context of Net Zero targets
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the specialized subareas of machine learning, software engineering, and systems (databases, networking, etc.). An understanding of digital forensics or network forensics is a plus. Ability to work with a minimal
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 5 hours ago
+RL) would be beneficial. Based on ocean sensor networks’ inputs, the developed DSSs will support the monitoring, prediction, environmental impacts and technical engineering management of ocean industry
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 5 hours ago
, and systems engineering. The advancement and application of techniques such as Systems-Theoretic Process Analysis (STPA), structured expert elicitation, and Bayesian Networks (BNs) are foreseen, and
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Information Retrieval and Extraction) Privacy, Safety, and Security Quantum Computing Software Engineering and Programming Languages Systems, Networking, and Cloud Computing Evaluation Criteria Applications
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Networks) Familiarity with GIS software (e.g., ArcGISs, QGIS) Experience with modern image classification techniques to produce thematic maps from satellite imagery and other supporting data layers