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. Strong analytical and problem-solving skills, including the ability to interpret and analyze simulation and/or experiment results. Familiarity with safety protocols and quality control measures in
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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), overall health, and more. For instance, in electric vehicles, the BMS carries out functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery
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across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on
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talented Postdoctoral researchers in the area Blockchain and IoT. The successful candidates will primarily be working on the following topics (but not limited to): Quantum Cryptography IoT Security
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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality
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technology transfer is appreciated. Experience in co-supervision and coordination of master students. Commitment to lab safety and research integrity. Strong communication skills in English (written and oral
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or related fields. Experience in securing research funding through grants, contracts, or collaborations, Demonstrated collaboration with peers at national and international levels, Thorough understanding
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation