125 learning-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Zintellect
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streamline health communication products, processes, and day-to-day operations, OC is offering a STEM-focused fellowship opportunity for an individual interested in learning about health communication
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, transparency, human oversight, uncertainty, and appropriate use. Learning Objectives: Through this opportunity, you will gain knowledge and practical experience at the intersection of artificial intelligence
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. Learning Objectives: Under the guidance of a mentor, this training opportunity may include: Gain focused training in federal nutrition, physical activity, and obesity surveillance; related research methods
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against expensive and dangerous health threats, and responds when these arise. Research Project: ATSDR Region 6 seeks to host an ORISE Fellow in Dallas, Texas. The ORISE fellow's primary learning experience
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will also gain experience analyzing and visualizing trends related to importing infectious biological agents into the United States. Learning Objectives: Gain experience supporting CDC efforts to prevent
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participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
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community health concerns and incorporate this information into the evaluation of potential health risks associated with environmental exposures. Learning Objectives: You will have the opportunity to: Gain
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activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and
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disease burden. Using these findings, you will learn to develop analytic approaches and research products that strengthen the Registry's ability to monitor ALS nationally and support evidence-based research
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied