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qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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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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(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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immediately. We are seeking a highly qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal
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qualified and motivated individual with a strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long
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We offer a full-time position as research assistant (E13), limited to three years with the objective to pursue a doctoral degree. Part-time employment is generally possible. Payment will be based
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explicitly encourages applications from qualified women. The position is suitable for individuals with disabilities, who will be given preference in case of equal qualifications. Privacy Notice By applying
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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