31 modelling-complexity-geocomputation Postdoctoral positions at Texas A&M University
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writing. Additional duties include intranasal administrations of extracellular vesicles in animal models of aging, traumatic brain injury, neuroinflammation, and Alzheimer’s disease, and characterization
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results from models. Assists with the application of models. Responsible for creating and sharing periodic reports of experimental observations and results with collaborators and sponsors. Contributes
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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models, attention mechanisms, and foundation models. 3) Time-Series Analysis : Specializing in modeling, forecasting, and anomaly detection to address complex real-world challenges. The successful
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting
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development. Proven record in user research across healthcare environments. Experience collaborating with multidisciplinary teams. Proficiency in statistical modeling and qualitative analysis. Expertise in
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infarction, and hypertension models), echocardiographic operation and data analysis. Experience with mouse and rat handling and physiology. Primary cardiomyocyte isolation and culture. Knowledge, Skills, and
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Neurobiology, Psychology, or related fields. Experience working with small animal models of neurological disease or trauma, stereotaxic surgery, behavior. Experience in bioinformatics (transcriptomics/proteomics
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future funding. Required Education and Experience Appropriate PhD in a related field Preferred Qualifications Willingness to work with large animal models Experience with tissue culture and primary cell