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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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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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Science and Mass Spectrometry. Post Doctoral Scholars are expected to lead analyses critical to the research program and to take initiative in contributing to the design of experiments involving enhanced
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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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computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence methods applied
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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python and using plant root segmentation software Experience segmenting 3D CT images in plant sciences Experience with high performance computing/high throughput computing resources for research Evidence
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experience; Strong written & oral communications. Prior experience working with families and children, conducting home visits, Knowledge of desktop computing, Microsoft Office suite products, statistical
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the group of Prof. Rafael Brüschweiler. This Post Doctoral Scholar position requires a highly motivated and productive individual with experience in biophysical chemistry, structural biology, computational
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in