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Field
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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update, ADS data entry, surveys, site visits, and Clinical Competency Committee (CCC) documentation. • Coordinate all aspects of the recruitment process, including ERAS setup, applicant communications
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approaches. Experience in programming in R, using GitHub, and doing Bayesian statistical analyses with the use of MCMC samplers such as JAGS, STAN, or NIMBLE. Point of Contact Justina Eligibility Requirements
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inefficient, requiring extensive manual data processing. A more robust version will enable OPSS to regularly update the model with new data and easily refresh estimates. The current team has three members
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Application Please send the following documents in English as a single PDF file : 1. Updated CV and contact information (email, address, telephone number). 2. A two-page synopsis summarising the candidate's
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Physician - Laryngology (Fellowship