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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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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study The programme usually starts in October; in exceptional cases, doctoral
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for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 2 months ago
ecology, evolutionary biology, molecular biology, quantitative behavior, computer vision, and physics of behavior. We envision this project to primarily involve laboratory-based investigations, although