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student for a project at the intersection of mathematics and deep learning to work on theoretical aspects of geometric deep learning. The question whether more data and compute are sufficient to improve
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from automated vehicles (AVs), they must be both safe and appreciated by drivers. This project uses modeling (e.g., AI/machine learning) and human behavior data to predict perceived safety and quantify
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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency
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of Communication and Learning in Science, and join our graduate school Communication and Learning in STEM . At the division, we conduct research and education with a focus on teaching and learning, particularly in
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progression, machine learning. You will collaborate locally and internationally with groups in both theory and experiment. You will disseminate your findings by publishing in scientific journals and presenting
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learning, generative AI, and multi-objective optimization. Evaluate and select design options based on user-defined parameters such as environmental impact, aesthetic value, and cost. Additionally, you will
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learning, data integration, and model evaluation in collaboration with industry partners for real-world impact. About us The Department of Computer Science and Engineering at Chalmers and University
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passion for learning and a desire to work in a multidisciplinary and open team. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at Chalmers, you are