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climate technology solutions. The fellow may be invited to teach a Harvard class during the course of their appointment. Basic Qualifications Applications should propose impactful climate research projects
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including historical linguistics, semantics, pragmatics, computational linguistics, phonology, or sociolinguistics. We would like to see candidates who can communicate with and learn from both linguists and
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training, travel to communicate findings, and professional networking will also be available. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute
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crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide you with
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where new health hazards (such as vapor intrusion or changes in chemical toxicity) have emerged. Learning Objectives: You will have the opportunity to: Learn ATSDR’s approach to conducting public health
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of cattle and swine semen samples placed under the stress of cryopreservation. Learning objectives: You will learn or enhance your current skillsets in the following: Proficiency in genetic diversity analysis
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affiliated with Columbia University. Duties and Responsibilities: Construct air pollution and meteorological data prediction models using machine-learning based methods Conduct epidemiologic analyses studying
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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/national programs, academic institutions, and research consortiums. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute, analyze, and communicate
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any reason, throughout the course of employment. Learn more about the work modes . Additional Information This is a one-year postdoctoral appointment, with the possibility of renewal based