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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research
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for interacting with colleagues and stakeholders. Department Specifics: Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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platforms, as well as extensive networking opportunities within the University of Miami’s robust AI and digital health ecosystem. Program Objectives: Provide fundamental training by interdisciplinary faculty
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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fundamental mechanisms of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging
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member, in order to advance their knowledge and/or be documented by scientific publications. Primary Duties and Responsibilities: •Works and collaborates on studies related to field of study. •Ensures
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of didactic learning and small group discussions. Students will be evaluated on their participation. Will attend journal club once a week (1 hour) for the 10-week period, with the first week being
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member, in order to advance their knowledge and/or be documented by scientific publications. Duties related to the College of Arts & Sciences: ·Conduct innovative research at the interface of AMO physics