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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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resources. Scientific Objectives: Develop a system using foundation models to detect, classify, and track both stationary and moving objects from multimodal sensor data. Integrate self-learning mechanisms
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Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related
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closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands-on experience with robotic hardware (e.g., robot
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of the Horizon Europe research framework program. The consortium maintains the Program Management Unit (PMU), an organizational unit responsible for program planning and program tracking. We are looking for a
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(negotiable) Contract Duration: 36 months, full-time employment Trial Period: 6 months Project Tasks and Objectives Objectives Industry: Object detection on construction sites to verify elements of a BIM
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role in pursuing the objectives of the project by proactively developing solutions Regular publication and presentation of research results in peer-reviewed journals and conferences Your qualifications
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07.10.2025, Wissenschaftliches Personal We are looking for an outstanding, self-motivated postdoctoral researcher. The candidate should have a strong track record and experience in intestinal
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or