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proteins in non-bilaterian animals (sponges, placozoans, cnidarians, ctenophores). The ideal candidate will have a background in biochemistry, cell biology, or evo-devo, and experience applying these methods
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analytical methods and digital capability for data consumption, organization, validation, storage, and classification of electronic health data. Job Duties Develops analytical methods and digital capability
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and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data
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, including task-based and resting state functional MRI, T1 and T2-weighted structural MRI, and diffusion MRI. The post-doc will parcellate the hippocampus and cerebellum using surface-based methods and the
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contribute to the excellence of our academic community. We are looking for a postdoctoral researcher with expertise in Bayesian hierarchical spatio-temporal statistics and measurement error methods for a 3
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to the project or projects weekly; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments; 4) attend the meetings of the PIs research
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear
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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on