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to develop cutting-edge polarimetric optical sensors for Earth and (exo-) planetary exploration. Advance space science, inspire students, and drive the future of remote sensing. Job description Imagine having
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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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sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF robotic arm) interacts with a human subject and multiple hand-held tools
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the already developed sensor network (visitor density). • Creation of multi-objective recommendation mechanisms, balancing individual satisfaction and mitigation of tourist overload. • Automatic generation
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of algorithms for ECG analysis from novel biodegradable electrodes and classical sensors. Data acquisition of ECG signals for electrical characterization of the novel electrodes. Creating a Database of ECG
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methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will
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Research Infrastructure? No Offer Description Mission: To quantitatively demonstrate that collaborative detection is better than that of individual agents in urban mobility. Functions to be developed: Infer
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— MOBVEC — HORIZON-EIC-2022-PATHFINDEROPEN-01 – “Mobile Bio-lab to support first response in arbovirus outbreaks”, promoted by Pathfinderopen, from the European Innovation Council (CEI), funded by
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, mobile platforms, industrial sensors/cameras, GPU workstations, and cloud platforms. Training covers research methods, scientific writing, open-source best practices, and impact/engagement. You’ll be
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analysis, data pipelines, or applied analytics Experience with communication protocols, such as CAN and Ethernet, used on mobile vehicles Experience working in multidisciplinary R&D teams and managing