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environment, - digitalisation, AI and smart technologies in the livestock sectors, - climate change and policy, - agricultural, food and environmental policy impact analysis, and/or - production efficiency and
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming
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the BANNER project for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency Your profile: Master’s degree in computer science, electrical engineering
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). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas natural resources and environment, digitalisation, AI and smart technologies in
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scientific or industrial career! The activity encompasses the design, research, and development of smart AI-based, digitized robotics-assisted sorting systems for products to support product recycling cycles
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, - digitalisation, AI and smart technologies in the livestock sectors, - climate change and policy, - agricultural, food and environmental policy impact analysis, and/or - production efficiency and