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interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (ICU). This position offers a unique opportunity to contribute to a cutting-edge project
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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candidate would bring expertise in one or more of the following areas: surgical approaches to model brain disorders in rodents; expertise with TBI, Epilepsy, Alzheimer’s, or Parkinson’s models; EEG recordings
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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have the ability to design and improve synthetic routes to support SAR studies and deliver compounds in large scale in a timely manner Perform molecular modeling including docking is a plus Preferred
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, and pharmacological approaches with the latest metabolomics, metabolic flux analysis, and expression profiling techniques in cultured cells and mouse models to gain a comprehensive understanding of how
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the generation and characterization of novel transgenic mouse models and application of in vivo and in vitro experimental systems. Among the key duties of this position are the following: Engages in scientific
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, and pharmacological approaches with the latest metabolomics, metabolic flux analysis, and expression profiling techniques in cultured cells and mouse models to gain a comprehensive understanding of how
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communication skills. Experience analyzing fungal communities (ITS/18S). Familiarity with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems
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. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of