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. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
research division within the NCT. You will analyze comprehensive, high-quality datasets and develop algorithms for the NCT-IIT program. In particular, machine learning methods should be developed to better
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, or quantum information science, including quantum information theory, quantum error-correction, quantum computing and communications, and quantum algorithms. As an integral part of the research, the successful
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School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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to 60. We have launched new degree programmes, developed new research areas, and in January 2021 moved into a brand new purpose building with our colleagues in Mathematics. We are a relatively young
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will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets