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., robotic simulations) into the would-be sensor inputs of the simulated system is within the scope of this project. The successful candidate will join a multi-institution research team of faculty at SUNY
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sensor and time series operational data. Positive interpersonal skills that include collaboration, taking different perspectives, and listening. Related technical customer service experience. Experience
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deposition technique. Workplan and objectives to be achieved: The work plan aims at the development of a biosignal sensor/actuator array, based on nanostructured thin films, to be integrated into a wearable
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batteries. This includes developing designs for flow fields and spacers, assessing different electrolytes, studying sealing properties and interaction with the (bipolar) membranes, and developing sensors
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app A postdoctoral research associate is required in the Engineering for Agri-Environment Lab (https://sites.usnh.edu/eaelab/), led
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Optimization of energy system design with application of smart sensors and controls, integration of renewable energy sources and heat pumps Application of artificial intelligence/machine learning for real-time
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. These students will assist with the development of our autonomous craft and sensor systems. The students will function as part of a small existing team of personnel that are highly dedicated to the success
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into large-scale O&M practices. ETH Zürich (Switzerland), supporting academic collaboration in SHM data processing, sensor-driven prognosis, and complementary supervision. These secondments form an integral
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, the research group is seeking a new colleague to support the design of an enhanced framework that integrates high-level task sequencing with low-level sensor-fusion control to facilitate in-process adaptation