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. Background in numerical analysis and/or optimization, with interest in error estimation, convergence, and robustness to noise. Experience with geospatial data (LiDAR/photogrammetry/GIS) and handling large
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. • Knowledge of basic research techniques. • Skill in accuracy with keyboarding/data entry, and numbers. • Skill in analysis to discern accuracy of data updates. • Skill in Microsoft Windows navigation. • Skill
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health equity with emphasis on statistical analysis and data management. Supports the Principal Investigator with data analysis, study design, and data dissemination. Among the key duties of this position
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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis
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laboratory work, complemented by a fieldwork component. Laboratory activities will include conducting mating experiments, as well as video, acoustic, and vibration recordings, signal analysis, and
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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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influence can be represented as colored noise, which accounts for temporal correlations in the system’s behavior. This project will primarily focus on the numerical analysis and implementation of noise
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-oriented Visiting Researcher to join our team at the endovascular Division of Neurosurgery. The ideal candidate will have a strong background in clinical research methodologies, data analysis, and excellent
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analysis, and reporting. Performs perform sufficient cases to qualify for Level III accreditation in echocardiography. Opportunities to learn advanced cardiac MRI, CT and nuclear techniques are available
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aerodynamic, vibration, and endurance testing campaigns. Assist in assembling and calibrating morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology