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the pathologic mechanisms for Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) using cellular and transgenic mouse models. The candidate will assist the Principal Investigator by performing duties related
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-tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD). You will have access to state-of-the-art
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tissues from animal models of stress or metabolic diseases. Individual will be provided with written protocols and receive guidance from the PI and other senior researchers in the lab. Employ various
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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, documentation, and analysis including the application of various theoretical frameworks to model design. Apply quantitative research methods including data preparation and cleaning, longitudinal data management
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process for new lender licensees including participating in system set-up calls, creating risk rating models, credit decision scorecards, and loan presentations based on customer-provided criteria 10
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, and learning module organization Familiarity with cloud-based networking models and virtualization (e.g., VMs, containers, hybrid networks) Background in instructional design or learning experience
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protocols (JWT, OAuth, MFA) d. Socket programming: TCP/IP communication, real-time and multi-threaded client-server models e. Secure coding and encryption: HTTPS, TLS, AES, HMAC, and secure transmission
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model for a peer tutoring center that fosters a developmental and agency-based approach to student support, particularly for first-year students who have disengaged from more traditional forms of self
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design tools such as Campus Labs, Qualtrics, etc. Statistical expertise in predictive modeling/analysis Pay and Benefits Pay Range: $84,000 - $90,000; depending on education/qualifications/experience Time