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of computer vision for circularity in the construction sector. The successful candidate will join a dynamic research team working on innovative approaches to advance circular construction practices through
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100%, Zurich, fixed-term The Laboratory of Food Systems Biotechnology (FSB) develops computational methods and utilizes "omics" technologies to study microbial ecosystems in food production and
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implement scanning, scan-to-BIM, and computer vision strategies for reality capture of the building stock Use immersive technologies to enhance construction processes and training Publish findings in high
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nitrogen) from dairy cows Amino acid requirements, nitrogen efficiency, and energy x protein interactions in dairy cows Precision livestock technology (wearable sensors and computer vision), including data
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robotics (e.g., ROS, forward/inverse kinematics), manufacturing (e.g., Additive or Subtractive Manufacturing), or computer vision/language models is a plus, but not a requirement. This position involves
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engineering Experience with microfluidics, single-molecule microscopy, immunoassays or label-free biosensing Experience in computer programming or computer vision is a plus Excited about interdisciplinary
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microbial ecosystems, utilizing mathematical and statistical modeling methods, embracing precision livestock farming technologies (e.g., wearable sensors, computer vision, etc.) and cutting-edge artificial
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the framework of an SNF-funded project, titled “Restoring high-resolution vision using optogenetics”, explanted human retinae will be investigated and recorded from by means of CMOS-based high density