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our funded program to train the next generation graduates in trusted automation for industrial Internet of Things through a close partnership between industry and academia. Being at the intersection
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international applicants) The aim of the project is to address the Trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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dynamic and uncertain environments [1]. A key application of such systems is in the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes
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astrophysics, condensed matter physics and solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies
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brief CV and a research proposal. Only focus on the things you feel are relevant to the internship you are applying for. Your resume includes: Your email address Institute/university address and phone
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possible within the Netherlands; A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop. All our PhD students are embedded
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possible within the Netherlands; A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop. All our PhD students are embedded
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and scientific/technical context The Internet of Things (IoT) ecosystem is characterized by diverse protocols (e.g., Matter, CoAP, MQTT, CORECONF) and data models, creating significant interoperability