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analysis. Experience with Python and/or R; familiarity with deep learning frameworks is a plus. Demonstrated record of research productivity (publications, conference presentations). Excellent communication
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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. The project involves both hardwood and coniferous species such as white oak, black walnut and shortleaf pine. The postdoc’s work, which will include field work, laboratory and data analysis components, will
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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Job Description Apply now Req Id: 32707 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary POSTDOC OPPORTUNITY: ANALYSIS OF PLANETARY MATERIALS The Department
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, with frequent travel to campus, may be available. We are recruiting multiple postdocs to join our team in this role. Responsibilities and Duties: Develop and implement complex data analysis projects
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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with other PRECISE facilities, potentially supported by analog field work or analysis of planetary remote sensing data. PRECISE provides a unique suite of 13 analytical laboratories enabling a wide range
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interpretation of study results, and work with a multidisciplinary team to advance The Dunn Lab’s research mission. All studies will involve analysis of data from large-scale epidemiological studies that have