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. Candidates must be supportive of the mission of the Land-Grant system. Candidates must also have a commitment to UF core values . Preferred: Experience with R/Python programing languages is desirable. Special
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independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin, Varian VnmrJ, Mestrelab Mnova, and Python
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proficiency in finite-element implementation through at least one of FEniCS/FEniCSx or Abaqus user subroutines (UEL/UMAT) in Fortran, together with scientific programming in Python. Knowledge, Skills
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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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experiments Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY RESPONSIBILITIES AND ACCOUNTABILITIES 1. Design, perform, and analyze nanoscale magnetic resonance
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Engineering, Electrical Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with
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, experience with using Abaqus, user subroutines, and Python scripting. Qualifications: Must have a Ph.D. or equivalent; be able to undertake substantial full-time research and scholarship; working under
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to design and operate catalytic and/or electrocatalytic reactors Ability to synthesize and characterize materials Ability to model and analyze process performance Proficiency in Python or an equivalent
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reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work independently and across disciplines
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Programming skills (e.g., R, Python, MATLAB) are a plus. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human