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background in computational biology, modeling or Machine Learning and Artificial Intelligence Familiarity with basic techniques and principles in cell and molecular biology and biochemistry Willing to learn
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and gene therapies. Research Project: You will join a research program that: (i) Investigates the mechanism(s) of coagulation in the context of drugs used to treat bleeding disorders. (ii) Develops
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and BSL-4 laboratories utilizing a wide range of techniques such as in vitro and in vivo infection models, flow cytometry, ELISA, western blots, and multiplex immunoassays. Our projects rely
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. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program
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about integrating traditional biological research with modern computational approaches. The successful candidate will join an interdisciplinary team of plant pathologists, geneticists, molecular
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tetramer technologies to interrogate antigen-specific immune responses Utilizing HLA transgenic animal models to study immunogenicity and tolerance in vivo Interpreting data in the context of drug
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the projected production associated with an increase in the pace and scale of restoration under wildfire risk reduction WRR) activities. New supply chain models are needed for fuel treatment and forest
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students and collaborate on aquatic ecology field projects in southeast Alaska wilderness watersheds. Learning Objectives: Learn about bioenergetic food web models to quantify food web energy fluxes between
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pathogens such as Japanese encephalitis and Rift Valley fever. Learning Objectives: The fellow will learn epidemiological techniques related to modeling parasitic and vector-borne diseases. Opportunities
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graders. After collecting and organizing the data, the participant will contribute in the modeling of the dielectric response of these materials with the focus on identifying correlations between