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sensor network and IoT Coding experience in Python and embedded code All applicants must be graduate students enrolled at the University of Michigan in good academic standing. Students whose undergraduate
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: containerization (Docker), orchestration (Kubernetes), IoT platform (FIWARE) Problem-solving mindset and willingness to explore new tools and frameworks Good software architecture skills Experience with Robot
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
the project are available as part of the public announcement, here: https://www.uoc.edu/en/news/2025/gaia-project-for-sustainable-iot We are looking for an ambitious 3-year PhD candidate to join a European
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of the following main tasks: i) Conducting a literature review on open source platforms that enable the integration of data from IoT nodes, user management, and parameterisation of their access levels for use in
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, Collaboration and IoT systems", "Task 5.1.2 - Smart Factory Shopfloor Delivery and Design". The work plan includes the development of case studies, support for the execution of project deliverables, including
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for the position. If you would like additional information about the position, please contact Dr. Shahab Tohidi, sshto@dtu.dk . Read more about DTU-Compute and our team at Dynamical Systems Section at https
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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intelligence solutions through applied research projects. Desirable Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain
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threat modeling and adversarial vulnerability in quantum/cryptographic systems; Next-generation wireless/edge/IoT security (5G/6G/AI/quantum integration); Cybersecurity for emerging computing paradigms
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systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart