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Field
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contribute to our ongoing projects, specifically on development of nanoparticles with predictable interactions with biomolecules and understanding nanoparticles behaviour in biologically relevant environments
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modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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advanced statistical and computational analyses, including trial-level models, mixed-effects models, clustering or latent-profile analyses, dimensionality reduction, predictive modeling, cross-validation and
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international studies. In doing so, we are investigating not only the effectiveness of cochlear implantation for tinnitus but also which factors may predict success. In addition to the clinical research question
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of RNA molecules in gene regulation and human disease. The central goal is to build a predictive framework capable of reconstructing and interpreting RNA-mediated interactions at genome scale by
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methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating
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field. Documented experience with soundscape-related research methods, such as soundscape prediction, soundscape design or soundscape evaluation; psychoacoustic or perceptual modelling; auralization
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Date 08/19/2026 Requisition Number PRN45957B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level FLSA Code Administrative Patient Sensitive Job Code? No
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College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develops and implements AI models for perturbation prediction: Designs, trains