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Energy-Water Systems (I- CREWS ), which seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological
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, analyze agronomic datasets, and develop interactive web-based decision-support tools using R and Shiny applications. Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/plant-sciences
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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forecasting of terrestrial and/or aquatic ecosystems with an emphasis on microclimate and ecophysiology Leveraging structured decision-making to assist conservation planning given uncertain futures Position
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reach. Afterwards the drone has to land on the ground robot again, with noisy odometry and an uncertain estimate of where the ground robot is. This position will develop the estimation and control
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pursuing a scientific career and motivated to investigate novel and uncertain techniques and communicate the results. You enjoy interdisciplinary collaboration and you are pragmatic and motivated to
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in outreach activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the