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on developing new methods, models, architectures, and tools for monitoring, forecasting, and managing distributed energy resources powered by renewable sources, building on the results achieved within Spoke 5
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for Technology, Economics, and Development (CTED) with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Associate Research Scientist will play a
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future. Fuelled by curiosity and a deep sense of responsibility, they provide invaluable contributions to research and teaching, thus enriching our society. Are you also inspired and driven by the desire
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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision
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states are unobserved. Purely data-driven models offer flexibility, but often ignore known biology and provide limited insight into uncertainty and mechanisms. These challenges motivate a broader Biology