222 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Zintellect
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public health preparedness, laboratory biosafety and biosecurity, regulatory oversight, and risk reduction. Under the guidance of a mentor, you will learn from DRSC's Policy and Communications Team engaged
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learning objectives to fit your personal career development goals, while providing guidance and education that will prepare you for your future. Where will I be located? Natick, Massachusetts Please note
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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well as communicate with research networks within the scientific community. Learning Objectives: As part of this learning experience, you may: Learn how grapevine populations and germplasm are evaluated to identify
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exposures, environmental hazards, and disasters. Learning Objectives: Under the guidance of a mentor and collaborative team of epidemiologists and medical toxicologists, you will be involved in the following
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to complement your education and support your academic and professional goals. Along the way, you will engage in learning activities and research in several areas. These include, but are not limited to: Assess
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disease (CWD), other wildlife diseases, and feral swine impacts. You will engage with ecological and wildlife management datasets and learn how quantitative and statistical tools are applied to address real
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for comprehensive pathology evaluation to support outbreak and epidemiological investigations. Learning Objectives: You will: Gain experience in molecular testing methods, including PCR-based detection and pathogen
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learn best practices in instructional design and health communication, including web communication, application of CDC’s quality training standards, user experience, digital content design, and plain
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primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and conducting scalable, high-throughput