21 data-visualization-analysis Postdoctoral positions at University of Central Florida
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. · Familiarity with data analysis pipelines within R or similar computational language. · Strong writing and oral communication skills. · Excellent analytical thinking and creative troubleshooting skills
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analytics - Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis Additional Application Materials Required Cover letter CV Research Statement or Relevant
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research. The Opportunity: The postdoctoral scholar will work with the PI and faculty to conduct research activities, data analysis, preparing manuscripts, presentation, and assisting in the preparation
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written and verbal communication skills Proficiency in data analysis software and statistical methods Preferred Qualifications: Strong expertise in cellular and molecular biology techniques is essential
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data acquisition systems. The scholar’s technical expertise will be integral to the successful completion of cutting-edge experiments investigating the roles of ice sublimation and endogenic liquid water
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for identifying grant opportunities, assisting in grant applications, designing studies, applying for an IRB, literature reviews, assisting in and conducting research, data analysis, and presenting research
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of mass spectrometry proteomics, including instrument set-up, sample preparation, data acquisition, and data analysis. Experience in preparing human tissues for downstream protein analyses, especially
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participant recruitment, assessments, and research assistants • Oversee data management and analysis • Participate in manuscript preparation and conference presentations • Engage in grant writing and
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. The Postdoctoral scholar will lead design, fabrication, characterization, and analysis of novel 3D nanophotonic devices for focusing and imaging. The ideal candidate would hold a doctoral degree in physical science
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., adolescents, college students, STEM teachers, healthcare professionals) multimodal multichannel data (e.g., log files, eye-tracking, physiological sensors, facial expressions of emotions, screen recordings, etc