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Field
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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Health Sciences Center (SCEHSC), the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) Center, and the Center for Translational Research on Environmental Health (R-TEN
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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. Lozada-Hildalgo, & P. Unwin. Nature. 2023, 620, 782–786. 2. Thousand-fold increase in O2 electroreduction rates with conductive MOFs. R. Mariano, O. Wahab, J. Rabinowitz, J. Oppenheim, T. Chen, P. R. Unwin
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, United States of America [map ] Subject Areas: Environmental Economics Natural Sciences Forestry Appl Deadline: none (posted 2025/08/28) Position Description: Apply Position Description Dr. Jeffrey R. Vincent, the Clarence
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using UCINET software or coding in R. Writing and Presentation Development Synthesizing data from multiple sources to communicate findings via written, visual (i.e. sociograms), and multimedia displays
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
areas: transfer learning, machine learning, data harmonization, longitudinal data analysis, model ensemble, interpretable AI. Familiarity with programming languages: R, Python, or Matlab. Preferred
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. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and
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accepting applications for a Postdoctoral Research Associate I in the reproductive toxicology laboratory of Dr. Zelieann R. Craig. Female metabolic and reproductive disease are a worldwide concern and