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science, to deliver molecular mechanics force fields that bridge the gap to quantum mechanical accuracy for biological modelling and computer-aided drug discovery. They will develop electrostatic embedding
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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS
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is preferred: advanced correlation and regression methods, structural equation modeling, growth curve models, and multilevel models. Expertise in methods for nonnormal data, intensive longitudinal
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summative evaluation plans and construct comprehensive logic models that capture program activities and outcomes. · Design evaluation procedures/protocols and develop data collection/survey
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Materials Characterization; Biomaterials, Bioinspired and Self-Assembled Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and
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on soil behaviour(2)Analysis of pile-supported wharves founded on liquefiable soil(3)Modelling for seismic assessment of soil-structure systemsDesired Qualifications:•Strong background in Geotechnical
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modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research on therapeutic strategies, novel
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our