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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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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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networks. Understanding of the software development cycle (SDLC) and experience applying it to research or educational software projects. Experience with -omics data analysis, AI-based computational modeling
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genomic changes. In this role, the successful applicant will have the opportunity to participate in the analysis and interpretation of multi-omics datasets including whole genome sequencing, bulk and single
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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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, solid phase extraction, etc.). Hands-on experience with different chromatographic separation and mass spectrometry methodologies for analysis of biomarkers, or small molecules. Education: Ph.D. in
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assays; viability assay; western blotting; comet assay; gH2AX stainig, DNA fiber assay; monoclonal antibody production and analysis). Abilities to work with small animals. Abilities to inoculate tumor
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conferences. Candidates should hold a Ph.D. in Physical Oceanography or related discipline, with demonstrated expertise in numerical modeling and data analysis. Strong communication skills and a record of peer
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the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe