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at the sponsor's facility. Responsibilities* - Evaluate and benchmark vision-language models for adaptive robotic perception in industrial applications - Develop robust perception methods for object
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Postdoctoral Associate Postdoc Associate: Acoustic Abundance Estimation for eBird Integration Cornell Lab of Ornithology College of Agriculture & Life Sciences Cornell University Ithaca NY
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estimation methods (e.g., multiple imputation, FIML) and sensitivity analyses · Conduct apriori and post hoc power analyses · Communicate the findings of the above research in oral (e.g., conference
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distribution analysis, sampling techniques, hypothesis testing, and methods of interval estimation. Provide guidance for evidence-based institutional change. Manage personnel and budgets in a complex, multi
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online learning methods deployed in converters/drives so that fleets of motor applications (e.g., pumps, fans, compressors) can self-quantify and aggregate flexibility for grid services with formal
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Air Quality Environmental Science and Technology Consortium) project, supporting the operation, evaluation, and development of AIRPACT (https://airpact.wsu.edu/), the regional air quality forecast
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methods to quantify and propagate uncertainty across integrated monitoring frameworks Developing methods for joint occupancy estimation using eBird and acoustic detections Developing approaches for
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have until now been beyond reach using traditional methods. The project is based at the Museum of Moesgaard in Aarhus in close collaboration with Aarhus University, School of Culture and Society, and
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interdisciplinary projects that apply advanced computational methods to clinically meaningful problems across the continuum of care—from early detection and functional assessment to intervention, surgery
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and customer-side assets for UTOPYS Help build the model library at the heart of [UTOPYS](https://www.utwente.nl/en/about-us/news-events-ceremonies/news/2025/11/663582/nwo-grant-for-installation-of