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Field
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processing. The Information Processing and Systems Department (DTIS) covers various aspects from automatic control, signal and image processing to human-system interactions and system design. On this last
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, pipelines, platforms, and other critical subsea infrastructure with minimal human intervention. The collaboration between vehicles will be enabled through shared control, communication protocols, and mission
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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: Impact of metal or metal alloy crystallographic orientation on ammonia electrocatalysis to enable design of the most efficient catalysts. Understanding what controls electrocatalytic stability, long term
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available for melting. The central scientific question is therefore: which snow meteorological and geographical parameters control the occurrence of landslides triggered by rapid snowpack melt, and how can
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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methods the reliability and robustness of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org ), enabling
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of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 2 months ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g