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strategies. (ii) The second addresses intelligent transmission scheduling based on the available technology. For each model update, it will be necessary to determine whether it should be transmitted via LoRa
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data-driven control in a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and
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analytical thinking skills, particularly in understanding how databases support data-driven decision-making. All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881
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26 Mar 2026 Job Information Organisation/Company University of Cyprus Department KIOS Research and Innovation Center of Excellence Research Field Computer science Engineering » Electrical
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | 10 days ago
-driven scientific initiatives. We already have an existing codebase ( https://github.com/matsengrp/netam ), which we are currently in the process of rewriting to be more flexible and modular. In
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plus. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing
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atmospheric modeling datasets of wildfire smoke pollution, linking smoke pollution exposure to human health outcomes, and analyzing wildfire smoke in the context of other climate-related exposures
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models, and ensuring students have a structured and engaging learning experience. Career Readiness Competencies: Access & Opportunity Leadership Professionalism Essential Functions Teach assigned courses
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Manager, ITS Infrastructure. For more information about ITS, please visit our website: https://its.umich.edu/ Cellular Core, Network Automation, and DevOps Engineering (50%) Contribute to the design
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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next