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background in experimental design, data analysis, and scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and
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simulation, psychophysical testing, and speech perception assessments. The Postdoctoral Research Associate will contribute to computational model development, software development, experimental data collection
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outcomes Experience with REDCap, R, SAS, SPSS, MATLAB, Python, or other data management and statistical software Knowledge of patient-reported outcome measures and quality-of-life assessment Experience
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon polarization
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-disciplinary team and lead ongoing watershed-scale modeling in U.S.EPA SWMM software. The candidate will be expected to analyze large rainfall, hydrologic, and water quality data sets, calibrate and validate
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publications in the field. Required skills include operation and alignment of custom laser instrumentation, and programming experience in e.g. MATLAB/Python/LabVIEW for data analysis and software experimental
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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of the research undertaken. The Post Doctoral Scholar will play an active role in the group’s weekly seminar and journal club. The Post Doctoral Scholar will also develop workflows, protocols, software, or web
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computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence methods applied