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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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Candidates may have expertise in any area of composition and rhetoric, literature, or culture, though the following interests are encouraged: environmental or social justice rhetoric, digital and media studies
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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process. When ready, the hiring department will contact the listed references via email, requesting their reference letters to be uploaded directly to the application website. The final candidate will be
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through the process by leading application workshops, coordinating campus interviews, and offering strategic advising. Fellowship Programming and Outreach Designs and delivers programming on prestigious
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. The postdoctoral researcher will also manage day-to-day laboratory operations and apply moderately complex plant molecular biology techniques to transform and analyze citrus genomes, process biological samples, and
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to process and analyze large remote sensing datasets Excellent written and verbal communication skills Preferred Qualifications: Experience with historical satellite imagery, particularly declassified data
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, mastectomy, spinal cord stimulators, bariatric surgery), chronic pain, sleep, and women's reproductive health; and (4) acquire mentored clinical supervision experiences with graduate student and intern
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Classification Title: POST-DOCTORAL ASSOCIATE Job Description: The UF College of Medicine-Jacksonville (COM-Jax), Department of Surgery has an opening for a postdoctoral associate in qualitative and
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep