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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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of computer and audio/visual equipment. We welcome and encourage applications from individuals of all backgrounds, especially those from groups traditionally underrepresented in the field of museum education
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Advanced in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp
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material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways. Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply
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details, visit https://postdocs.yale.edu/postgrads/being-a-postgrad-at-yale/benefits. Qualifications/Education and Preferred Experience Emerging scholars with a Master’s degree in art history, studio art
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, fine-tuning, and retrieval-augmented approaches, to enable natural language interaction with visual and clinical data Developing scalable annotation, preprocessing, and augmentation pipelines for image
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program funding, program evaluation, science translation, technical assistance, training and partnership development. For more information, visit: https://www.cdc.gov/nccdphp/dcpc/index.htm https