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for screening hits and perform structure-activityrelationship studies Optimize the in vitro and in vivo pharmacokinetic properties of lead compounds Interpret structure activity relationship and structure
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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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
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Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications/Licenses Required Knowledge, Skills, and Abilities
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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