716 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" Postdoctoral positions in United States
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and
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, training, learning technologies, digital learning, workforce development, or human-computer technology design. Experience with translation, applied, or design-based research. Experience with data analysis
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tissues. Dr. Emfinger is looking to recruit Postdoctoral Scholars interested in islet biology and machine learning. The Postdoctoral scholar will have the opportunity to collect data, analyze large datasets
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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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the global health scenario and domestically for dissemination, and plenty of opportunities for career advancement. •Learn background/research methods of studies for which analysis is conducted with limited