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Classification Title: Post-Doctoral Associate in unsupervised and generative ML for chemistry Classification Minimum Requirements: PhD in Chemistry or related area Strong coding (Python) and
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of complex molecules and reactions. Must have PhD in Physical/Theoretical Chemistry or Artificial Intelligence/Machine Learning or related fields. This position will be initially awarded for one year, and
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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, and additional expertise in mechanical testing and materials characterization will be considered a strong advantage. Required Qualifications PhD in Materials Science, Mechanical Engineering, Additive
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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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machine learning, topological quantum materials, and/or related areas. The successful candidate will have access to HiPerGator, the fastest university-owned supercomputer in the United States (TOP500
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This position offers the opportunity for a recent PhD in art history or a related field of visual study to enter the field of academic museum education. At the Herbert F. Johnson Museum of Art, we
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale