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Field
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communication skills and the ability to interact with other researchers, industry, and policy actors. We are committed to building an inclusive and diverse team, welcoming applications from individuals of all
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale
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, with good communication skills. The ability to work independently and collaborate with an interdisciplinary group. Highly motivated and creative. Experience in presenting and publishing scientific work
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sense. The programme focuses on medical, defence and communication applications. One of the many activities in the POLARIS programme addresses research on GaN Microwave Monolithic Integrated Circuits
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also be part of the MBIC Graduate School, which provides additional training and networking opportunities. Predictive processing is increasingly recognized as a key computational principle of brain
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collections interact with power, knowledge, and ongoing processes of heritagization. The candidate is encouraged to develop new methodologies that center community-led, ethical, and innovative approaches
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related field. Solid background in dynamical systems, modeling, and control. Some programming experience Strong analytical mindset and problem-solving attitude. Good communication skills and the ability
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communication skills and the ability to work both independently and in a team. Proficiency in written and spoken English. Prior experience in soft robotics, machine learning for control, or experimental robotics
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part