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Field
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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the University of Maryland, the George Washington University, Morgan State University, and Cornell University. TRAILS is seeking talented, highly motivated applicants for multiple postdoctoral fellowship positions
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the University of Maryland, the George Washington University, Morgan State University, and Cornell University. TRAILS is seeking talented, highly motivated applicants for multiple postdoctoral fellowship positions
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
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for facilitating effective communication with, and interaction between, the Hub’s various stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating
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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision