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on algorithmic and application research in the domain of AI and scientific simulations to drive SW-HW-Technology co-optimization and develop novel ML/Hybrid-AI methods for semiconductor processing and health
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RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets
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application, but the actual implementation will draw from typical challenges drawn by selected applications, like vision and olfactory sensing, which are interesting because of their strikingly different
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consumption acts. Differing from the standard production and consumption models, these acts convert sets of resources into individual utility and profit but also affect other elements of the universal resource
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system improvements. You will be responsible for ensuring our research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered
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a hybrid role with 2 days onsite and 3 days remote. Duties and Responsibilities Holds to a strong culture of accountability that ensures optimal performance for answering inbound calls for to connect
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at the University of Groningen and a design project which will be performed at Henkel and the University of Groningen. The position offered is in the context of the project Henkel-Mastication Process Optimization
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Your Job: Contribute to a pioneering pilot project in close collaboration with industrial partners, research institutions, and an interdisciplinary team Design, develop, and optimize a modular
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on studying shape parametrization, learning gait optimization functions for mechanism design and using different machine learning embeddings (such as GANS, VAEs, and Diffusion Models) for developing a new full
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a