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Field
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Do you have a background in deep learning and computer vision? Are you independent, creative and eager to take initiatives? Do you enjoy working in an international research group and interacting
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of interior spaces; and to develop a computer vision and deep/reinforcement learning approaches to combine and integrate imagery from the UAV, but also satellite imagery or data from other environmental sensors
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develop a computer vision and deep/reinforcement learning approaches to combine and integrate imagery from the UAV, but also satellite imagery or data from other environmental sensors. Besides this, you
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Would you like to work at the intersection of transportation, robotics and machine learning to design mixed fixed-flexible transport networks? Job description The increase of public transport usage
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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transparent and intelligible. Although explainable AI methods can shed some light on the inner workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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Computer Science, Machine Learning, Operations Research or a related technical field. Strong background in deep learning with a motivation to advance fundamental techniques. Excellent analytical, problem-solving