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programming skills including proficiency with Python and Matlab. Strong communication and interpersonal skills. Knowledge of hydraulics and stochastics in hydraulics, though not required, will be beneficial and
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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analysis of biological datasets using R, Python, SAS, or related platforms Ability to integrate laboratory, greenhouse, and environmental datasets to support predictive analyses and IPM-focused decision
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-applied compounds • Experience with statistical modeling, experimental design, and multivariate analysis of biological datasets using R, Python, SAS, or related platforms • Ability to integrate laboratory
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov
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-determination cascade. Proficiency in command-line bioinformatics and a scripting language for genomic data analysis (R, Python, or equivalent). Track record of first-author peer-reviewed publication (published
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, splicing variant identification, or functional dissection of the sex-determination cascade. • Proficiency in command-line bioinformatics and a scripting language for genomic data analysis (R, Python
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and