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Field
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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of machine learning models for object detection, classification, and outlier detection across multiple sensor modalities. Depending on previous experience, provide scientific oversight to volunteers, students
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rodent models (mice and rats), as well as related experimental procedures. The work primarily involves animal behavior research to determine drug dosing and side-effect profiles. Prior experience in pain
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via autophagy and lysosomal targeting in learning and memory and disease models using rodents and iPSC-derived cell cultures. These mechanisms will be investigated in both healthy conditions and
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of electrophysiological, calcium imaging and video based kinematic data as well as developing biology informed self-supervised learning models. Within the predetermined research scope and methodology, conduct research
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
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science, or in a related field Required Related Experience Computer programming, statistical modeling Required License/Registration/Certification None Physical Requirements Sitting for extended periods of time
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general circulation model, analyzing ground-based and satellite measurements, and conducting data-model comparisons. In accordance with USCIS regulations, successful applicants must be legally able