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Saint Louis University is a Catholic Jesuit Institution dedicated to student learning, research, health care and service. This Postdoctoral Fellow position is in the medicinal chemistry research group led
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within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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, measurement, and evaluation strategy, with a focus on cross-sector data infrastructure, linkage, performance measurement, evaluation, and continuous learning. Responsibilities: 1. Serve as a scientific partner
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. Responsibilities Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project. Configure and coordinate the Fed-BioMed platform at participating centers. Ensure data security, privacy
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Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences
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technologies. The candidate will work at the intersection of Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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hydrocarbon and geothermal resources to provide affordable, reliable, and secure energy. At the end of the program, participants present their research findings at the MLEF Technical Forum. As an MLEF
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. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae (CV) Statement of research interests Names of three professional