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in iPSC-derived cellular models. The position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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sequencing data sets is preferred. This position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based
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, and practical changes to maximize excellence and effectiveness in general chemistry laboratories are highly prioritized. Strong software skills in NVivo, Transana, STATA, SPSS, and/or RStudio desired
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machine learning. In addition to leading research initiatives, the postdoc is expected to collaborate closely with graduate students, faculty, and industry and DoD partners. Key responsibilities include
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machine learning. In addition to leading research initiatives, the postdoc is expected to collaborate closely with graduate students, faculty, and industry and DoD partners. Key responsibilities include
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/Python/LabVIEW for data analysis and software experimental control. Also required are strong written and oral communications skills, interpersonal skills for collaborative science and mentorship, problem
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, workforce development, or human-computer technology design. Experience with translation, applied, or design-based research. Experience with data analysis software and digital research tools. 55% Research
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scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and collaboratively in a research setting. Record of peer
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flicker noise, evaluation of the characteristic decay timescales of post seismic displacements, development of new software, and dissemination of results. A successful candidate will also be able to explore