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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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: 1116179 Position Summary Successful candidates are expected to work on molecular design and theoretical modeling of soft materials as well as their applications in healthcare and sustainability
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immune system dynamics and therapeutic interventions. Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and validate novel biomarkers and molecular targets
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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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of study in 17 degree-granting colleges. Create a Job Match for Similar Jobs About Michigan State University Spartans work every day to advance the common good in uncommon ways.Together, we tackle some of
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, statistical modeling, interpretation of metabolomic signatures, and integration with cardiometabolic outcomes. Assist with Data Management and Sharing activities, including data curation, documentation, quality
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, experimental methods, or computational modeling relevant to materials science research. • Experience working as part of an interdisciplinary research team. • For postdoctoral or research associate roles
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of radiation biology, tumor immunology, and clinical radiation oncology. The postdoctoral fellow will lead and contribute to preclinical and translational studies using in vitro systems and in vivo models
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and planning models of electricity systems, power flow and transmission analysis, load forecasting, and climate impacts analysis. The postdoctoral scholar will be expected to lead or contribute to peer
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islet imaging assays, in vivo assays of metabolism (e.g. glucose tolerance tests), and developing novel machine learning models (in Python and R). Experience with mammalian cell and tissue culture