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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green technologies, and
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senior lab members, develops proficiency in appropriate scientific methods and experimental procedures. Assists senior lab members in the design and execution of research experiments. Assists in
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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at
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Traces (ALT) lab at the Department of Psychological and Quantitative Foundations has an open Postdoctoral Scholar position for an individual with expertise in computational and quantitative methods
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analysis using Python. Organized and methodical in data collection and lab management. Ability to work alone or with others. Reliable and committed to the lab. Previous experience as a lab manager. Previous
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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skills and teamwork required. Gathers, organizes and analyzes data through interviews, literature searches, medical record reviews and related non-lab methods for use in studies, publications and other
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proficiency with longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta‑analysis. ● Experience with version control and reproducible
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analysis tools (e.g., NetworkX or equivalent) Familiarity with permutation-based statistical methods (MR-QAP preferred) Interest in human-computer interaction Special Instructions to Applicants Budget