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). Video is optional. Theater: Up to 15 pages writing sample and/or up to 10 design images (photos or renderings) and/or video/audio reel with cue points (no more than 10 minutes to watch). Visual Arts: Up
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 1 hour ago
*Applications will be reviewed on a rolling-basis. FDA Office and Location: A Postdoctoral Fellow opportunity is available immediately with the Food and Drug Administration (FDA), Center for Devices
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experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2, and
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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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, TensorFlow, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks
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, BERTopic, TensorFlow, PyTorch, and LLMs; Expert in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter
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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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control, and performance optimization. Proficiency in data analysis and problem-solving, with the ability to evaluate device performance using analytical and visualization tools. Ability to work in
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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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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