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of fully autonomous navigation systems. Main responsibilities Develop and optimize autonomous navigation algorithms for outdoor mobile robots. Integrate and fuse data from perceptual sensors (LiDAR, RGB
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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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correlated with plant traits such as yield and stress resilience Collaborate with sensor teams, plant scientists, and data engineers to develop robust, reproducible data workflows Contribute to the development
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
of photonic chips and integrating chips into larger instruments. Applications include remote sensors like microwave photonics radiometers, compact lidar systems. We are interested in miniaturization of existing
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Contribution to the development of microcell-based optical clocks at FEMTO-ST. Contribution to the progress/improvement of microfabricated vapor cell technology and/or clock frequency metrological performances
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model scenarios, and data which can be used to test the developed models. Measurements will include, for example, water content, and pressure head with local in-situ sensors. In addition we aim to carry
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the scope of the Mobilizing Agendas for Business Innovation, framed and financed under component n.º 5 - Capitalization and Business Innovation of the Recovery and Resilience in Portugal. Scientific field
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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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Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-731 Is the Job related to staff position within a Research Infrastructure? No Offer Description Build the (mobile) robots
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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