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Field
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms
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control algorithms. Perform experimental testing, data analysis, and performance evaluation of power electronic systems. Develop simulation models using tools such as MATLAB/Simulink, PLECS, or PSCAD
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* Design, implement, and evaluate wireless-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 9 hours ago
segmentation/classification/quantification/chatbot tasks. Learning Objectives: Under the guidance of an FDA mentor, you will: Develop comprehensive expertise in evaluating artificial intelligence algorithms
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matter expertise supporting the development of new studies, modeling and simulation, and algorithms. The Post-Doctoral Fellow will work along with the Division Chief and research managers in the Nuclear
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. This longitudinal project investigates the implementation of AI-empowered chronic disease management systems in hospitals. It examines human-AI collaboration and the "boundaries of work" between humans and algorithms
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system