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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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the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant
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submitted. If email is not received, check the junk folder before contacting ORISE to confirm submission. To apply and learn more about EIF and host institutions – such as eligibility, requirements, and
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the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
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are not currently captured by active systems. Learning Objectives: Learn about high-consequence bacterial pathogens and the role of national reference laboratories in public health surveillance and outbreak
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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
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. This fellowship requires in-person participation in Manhattan, Kansas. Learning objectives: During this appointment, you will have the opportunity to: Gain experience in sorting and identifying insects of medical
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(ONT) and the Illumina NextSeq 1000/2000 platforms for malaria genomic testing. Learning Objectives: The laboratory is seeking a fellow for a 1-year fellowship for the following training objectives
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researchers in an effort to learn and perform structure-based protein design of vaccines and antibodies. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your