27 python "Computer Vision Center" Postdoctoral positions at The Ohio State University
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or applying machine learning models. Proficiency in programming and data analysis using Python, R, or comparable analytical tools. Demonstrated ability in scientific writing, peer-reviewed publication, and
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programming ability in Python, and practical experience with a modern deep learning framework such as PyTorch. Experience working with 3D data in some form: volumetric images, meshes, point clouds, or geometric
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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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, biostatistics, computational genomics, longitudinal data analysis, or a related quantitative field; proficiency in R and/or Python and experience working in Unix/Linux computing environments; experience managing
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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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. 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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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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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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holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab