48 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Chalmers University of Technology in Sweden
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to the empirical nature of the project or at least reached within 2 years after starting the PhD program. We are looking for you who are independent, self-driven, and analytical, with an ability to manage complex
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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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will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both rule- and machine-learning/AI based
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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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equivalent). By the start of the enrollment in the PhD program, i.e., September 2025, the candidate must also hold a Master's degree, having completed a degree project (thesis) at advanced (Master's) level
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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that hosts, e.g., the Nordic ALMA Regional Center node, and is the SKA center for Sweden. The fusion research activities are aligned with the integrated European fusion research programme implemented by
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Advance Earth Observation with 6G Satellites! Join our cutting-edge research at the intersection of satellite communication, signal processing, and Earth observation. As a PhD student, you'll help
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dynamics simulation and controls toolbox fascinating? The research of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment