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Position in Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations
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, creative, and well-organized candidate with experience in stem cell and cancer biology, molecular biology, next-generation sequencing techniques, bioinformatics, proteomic analysis, and animal handling
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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neural and behavioral mechanisms underlying response to such treatments, are encouraged to apply. The fellow will actively participate in implementation, data analysis, and dissemination of findings
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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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, 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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. 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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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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: 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