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algorithm development, modeling machine learning, and scientific simulation ▪ Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists ▪ Strong oral and written
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multimodality imaging including PET/CT, SPECT/CT, and PET/MRI with a focus on integrating machine learning techniques. The appointment will be two years from the date of hire with a possibility of extension
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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, economics, computer or data sciences, management, public policy, or an associated discipline. Along with their mentored research, this fellow will join a cohort of Fritz Family Fellows working
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important for renewable energy production and production variability will be an advantage. Knowledge of machine learning or optimization will be an advantage. Applicants must be able to work independently and
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diversity but whose research, teaching, and community engagement efforts contribute to diverse, equitable, and inclusive learning and working environments for our students, staff, and faculty. IUPUI condemns
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; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent
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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural