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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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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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explore blends of RCFs with other mineral residues, such as dredged sediments or excavation waste, to create new, high-performance SCMs. Thirdly, lab-scale tests will be conducted to evaluate
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the properties of recycled concrete, ensuring strong and durable end products regardless of their origin. Secondly, this project will explore blends of RCFs with other mineral residues, such as dredged sediments
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dry fractionation and agglomeration trials to improve functionality of legume ingredients? Do you want to understand rheology of hydrated ingredient blends to predict extrusion behaviour for meat
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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for collaboration, critical analysis, reflection, and learning.
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors