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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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. Experience: Experience in a research environment is highly preferred. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics is preferred. Proficiency with C/C
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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. Knowledgable about requirements for depositing data and following repository and meta-data specifications for data sharing. With guidance, locates and follows repository-specific requirements to submit study
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
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epidemiology, simulation modeling, machine learning, and health economics to 1) improve health outcomes for vulnerable populations, 2) uncover structural factors that drive health inequities, and 3) inform
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria