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) for image classification and large-scale data processing Familiarity with concepts, modeling, or datasets related to U.S. agricultural management, grassland/rangeland ecology, and/or environmental impacts
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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Practices, Assistant Dean for Dental Education and Informatics, Assistant Dean for Educational Support and Faculty Development, Assistant Dean for Academic Success and the Assistant Dean for Business
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California State University, Los Angeles | Los Angeles, California | United States | about 3 hours ago
submitted by April 15, 2026. Applications received after the deadline may be considered. To apply: please click the Apply Now icon on this page or visit Faculty Lecturer Positions or https
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networks (SNNs) offer a bio-inspired and event-driven computational paradigm that naturally aligns with asynchronous sensing. By exploiting sparse spike-based communication and intrinsic temporal dynamics
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information about the CIIR center’s activities and overall research agenda can be found at https://jura.ku.dk/ciir/english/about/ An assistant professorship is a further-education post. The main
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and