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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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configuration control, model updates, retraining constraints and operational monitoring during missions; providing recommendations for the evolution of ESA PA&S practices, including potential input
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strategies. • Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling. • Collaborate with domain experts and (where relevant) operational
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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may include electromagnetic ISAC channel modelling, waveform and transceiver design, sensing signal processing, AI/ML-enabled radio interfaces, MIMO beamforming and channel estimation, interference
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
, reproducibility, and high-impact scholarship. Dr. Charles “Charley” Taylor — Computational Cardiovascular Medicine Dr. Taylor is a leader in computational medicine and cardiovascular modeling. His work has
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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The National University of Singapore invites applications for the position of Research Fellow in the NExT++ Research Centre, School of Computing (SoC). SoC is strongly committed to research
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, and support the strategic dissemination of data that advances patient care worldwide. Through a phased training model, the program emphasizes both foundational knowledge and leadership development