29 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Indiana University
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Posting Details Position Details Title Postdoctoral Fellow in Medical & Molecular Genetics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Medical & Molecular Genetics Campus
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experimental systems — from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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neurodegeneration and neuroinflammation. This work leverages cutting-edge molecular, cellular, and animal model approaches with direct translational relevance to FTD through work with patient samples. Primary Duties
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of Medicine, and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system (Koehler et al., Nature Biotechnology 2017; Nie et al., Nature
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– from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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Fellow to join our research team. Our laboratory focuses on investigating the molecular mechanisms underlying liver fibrosis in chronic liver disease, utilizing advanced biochemical and molecular biology
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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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datasets). Develop and apply statistical and empirical models to assess relationships between hourly precipitation characteristics and runoff. Simulate future rainfall patterns using thermodynamic scaling
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seizure models and cell cultures, primarily utilizing molecular and cell biology techniques. The Obeid lab investigates the mechanisms of seizure emergence and their effects on cognitive and behavioral
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration