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mutation detection; participates in analyzing data for reports for the purpose of grants submissions; designs and conducts pre-clinical studies using a variety of disease models in mice; trains staff
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and human-induced environmental change, using fish as model organisms. The successful candidate will have flexibility in determining the specific direction of the project; please see the lab website
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identifying and conducting interviews with pesticide applicators, coding responses to interviews and integrating interview responses using a mental models approach. It is expected that the successful candidate
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are shaped by algorithms and Large Language Model AIs, technologies of automation and creation that mimic the superorganic “tradition” to which past folklorists had misguidedly assigned sole agency. How should
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studies (mouse models specifically) is required. A Doctoral degree in an appropriate biological/health science field is desirable. Requires successful completion of a background check; qualified candidates
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| Materials Science and Engineering Position Description: Perform research in light metals and manufacturing including both experimental and modeling work; produces publications and prepares presentations
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blots, confocal microscopy, cell culture, traditional and quantitative real-time PCR, immunoprecipitation, microdissection and/or biomechanical testing and modeling. Experience working with animal models
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transgenerational plasticity shapes individual responses to both natural and human-induced environmental change, using fish as model organisms. The successful candidate will have flexibility in determining
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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of population and community modeling or coding. The Post Doctoral Scholar should have demonstrated ability to analyze population or community datasets using statistical software, such as R, data management skills