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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about AI, multi-modal sensing, and
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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of hardware and control algorithms for real-world applications. The Electrical Power Group is expanding rapidly with ambitious plans. We work closely with leading industry partners across multiple sectors and
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system will enable single-shot, real-time 4D Imaging, going beyond the current state of the art. This project will focus on two main steps: 1. Developing real-time tomographic 4D imaging using multiple
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: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations
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Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026