52 parallel-computing-numerical-methods-"MIT" Postdoctoral positions at Indiana University
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successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and
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-sciences hubs. The successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed
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, and quantum computing. The candidate must have expertise in the synthesis of colloidal inorganic nanocrystals: air-free synthesis and work-up (including Schlenk line and glovebox proficiency), powder X
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high-performance computing resources will support translational research aimed at improving kidney health. Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02341-2026
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project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling
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project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling
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project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling
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project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling
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project management Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling
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methods in their research and can contribute to teaching in the undergraduate Management + Human Organization major that we administer and to substantive and methods training in our graduate program