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optimization, particularly in the context of the Energy Transition. Transitioning to a power system heavily reliant on weather-dependent renewable energy to achieve environmental targets introduces a critical
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local inflammatory processes are interconnected in the development of rheumatoid arthritis. The ultimate goal is to build knowledge that will enable the development of targeted treatments for future
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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the context of the Energy Transition. Transitioning to a power system heavily reliant on weather-dependent renewable energy to achieve environmental targets introduces a critical dimension of uncertainty in
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. Thermoplastic composites, combined with novel material architectures, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and
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tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project management
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and machinery to deliver high-quality components for the next generation