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features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers. Analyze large multimodal datasets
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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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, and hybrid models integrating computer-vision–derived features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with
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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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: A Ph.D. in biology, psychology, animal behavior or neuroscience-related field and experience working with animal models is required. Experience with neuroendocrine and/or behavioral analysis is
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@iu.edu Additional Qualifications Preferred Qualifications: · Background in cancer immunology or radiation immunotherapy · Experience with multicolor flow cytometry and data analysis · Familiarity with
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. Coordinating studies involving human participants; Processing and analyzing biological samples; Data management including handling large data sets and performing statistical analysis; Communicating results
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Interest in analyzing biomedical/clinical/genomics datasets using computational approaches such as longitudinal analysis, mixed-effect modeling, regression, and AI/machine learning in large-scale electronic