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                or, preferably, scientific machine learning (SciML). • Conducting research related to the improvement of the hygrothermal properties of cross-laminated timber. Desing and perform testing and analysis crate 
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                ongoing projects to examine decision-making in health behaviors on which this position will be involved. The position is well suited for individuals interested in technology applications and behavioral 
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                and whole-heart Langendorff perfusion or ECG telemetry. The project involves testing a novel hypothesis that structural integrity alone is sufficient to protect against arrhythmogenic conduction slowing 
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                communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both 
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                jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing 
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                Performance Computing & Linux • A proven track record of peer-reviewed publications Preferred Qualifications • Experience with US3D CFD software • Experience developing numerical CFD methods for integration 
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                research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g 
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                basic laboratory protocols including proper handling of mice behavior, molecular biology, data collection, and data management. • Experience with data analysis software (R, Matlab, etc.) Appointment Type 
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                experimental methods for Hypersonic testing facilities • Expertise in one or more optical diagnostics methods for high speed flows • Experience with Hypersonic CFD codes, such as US3D • Proficiency in LabView 
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                software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock