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engagement, FIU is redefining what it means to be a public research university. Serves as a key member of the Research and Development team, focusing on researching advanced algorithms and frameworks to design
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, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
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, and REDCap. Skills in system modernization, user story development, and workflow automation. Skills in applying complex algorithms and data structure principles. Expertise in executing and managing
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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to departmental policies, and helps prepare the team for integration of future innovations such as artificial intelligence, remote dosimetry, and other disruptive technologies. Working closely with dosimetry
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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representations. Research will include developing novel decision-making models and algorithms with strong theoretical foundations, conducting rigorous empirical testing and evaluation of these models and algorithms
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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design, data analysis, and documentation of experiment results. Job Description Primary Duties & Responsibilities: Develops algorithms and computer software for omics-based data sets [high-throughput