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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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. Profile You hold a PhD in Artificial Intelligence, Computer Science, Communication Science, Clinical Psychology or related fields (or you will have obtained it by the time you start the post-doctoral
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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
Posting Information Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 06/17/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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31st August 2025 Languages English English English The Department of Natural history has a vacancy for a Postdoctoral fellow position in the borealization of terrestrial ecosystems Apply
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Directorate (ESTD) at ORNL is currently seeking to fill a position for a Postdoctoral Research Associate. This role entails contributing to MEERA group’s mission of disseminating knowledge on energy, carbon
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
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Provide support in grant writing Perform other tasks within the framework of this position For further information, please contact Prof. Paul Wilmes: E-mail: Telephone: (+352) 46 66 44 6188 Your profile PhD