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developed a new therapeutic approach that enables the body's immune system to attack cancer cells more effectively. His most significant achievement has been the development of a 'tumour-infiltrating
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software development (e.g., treatment planning tools, imaging algorithms, AI-based applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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between the groups of Dr. Alessandra Candian and Dr. Daniela Huppenkothen (both API ) and Prof. Wybren Jan Buma (HIMS ), funded by the Molecular and Materials design program (MMD Hub ) of the Faculty
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control with teleoperated human inputs? Change: Develop novel algorithms and interfaces for teaching robots in shared control with human operators. Impact: Provide a seamless interface for humans to teach
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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the project proposal, which includes: Developing generative models that produce gestures grounded in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment
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the project proposal, which includes: Developing generative models that produce gestures grounded in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment
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the project proposal, which includes: Developing generative models that produce gestures grounded in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment
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between the groups of Dr. Alessandra Candian and Dr. Daniela Huppenkothen (both API ) and Prof. Wybren Jan Buma (HIMS ), funded by the Molecular and Materials design program (MMD Hub ) of the Faculty