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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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. Conduct model validation and performance evaluations in controlled environments. Essential Function Yes Percentage of Time 5 Job Duty Continuous Learning and Innovation Stay up-to-date on emerging AI models
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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Description REALISE - Bridging Igneous Petrology and Machine Learning for Science and Society About the REALISE Doctoral Network REALISE will train 15 Doctoral Candidates at the interface of igneous petrology
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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. Familiarity with artificial intelligence and machine learning concepts such as large language models, natural language processing, and Retrieval-Augmented Generation (RAG). Experience with AI/ML frameworks and
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simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in
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point-based PhorEau projections using a machine-learning model predicting tree species richness as a function of spatially explicit abiotic and biotic covariates, including satellite-derived data
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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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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