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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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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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integrating IoT, edge, and cloud technologies for low-connectivity environments. Extensive travel to Kenya, Malawi, and Zambia is required to work with stakeholders, conduct deployments, and train local
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of Things (IoT), focusing specifically on applications in intellectual disability. Through co-creation approaches, the project will generate a participatory methods toolkit, quality standards and training
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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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, sorting, recycling, recovery, and disposal processes and infrastructures. Specific Waste Streams: Knowledge of specific waste streams (organic, electronic, hazardous, etc.). IoT Technologies: Experience
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 12 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team