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decision making systems. Experience integrating hardware, software, sensors, actuators, and control systems. Experience in computer vision based autonomous systems. Experience with AGVs, autonomous mobile
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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. Their responsibilities will include research activities in the area of manufacturing technologies for sensors and other printed-electronics solutions, including selecting appropriate techniques, defining the process
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looking for a PhD Student (f/m/d) Development of the degradable environmental and bio-sensors, subject to final approval by the project sponsor. Your tasks Development of the project tasks and milestones
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Offer Description In the role of Data Scientist at SAM XL, you will work on cutting-edge innovative robotic manufacturing technologies in development projects where sensor data is used to control
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• Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic
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mobile pigs. By integration sensor data and behaviour obervation, we aim to establish signatures and indicators of sleep and wakefulness in domestic pigs during passive periods. We are now looking for a
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Article) PMID: 23811687 Nature Cell Biology 13: 310-316 (2011) (Cover Article) PMID: 21336310 Molecular Cell 37: 668-678 (2010) (Cover Article) PMID: 20227371 Lab website: https://www.med.upenn.edu/apps