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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS
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-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications
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Required Knowledge, Skills, and Abilities Preferred Qualifications Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer
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Required Knowledge, Skills, and Abilities Preferred Qualifications Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer
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Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer). Experience with programming (Python in particular) and AI/ML. Excellent
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patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision