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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
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behavior. You will combine density functional theory, thermodynamics, and automated Python-based workflows to generate physically grounded datasets describing oxidation states, defect formation, and surface
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. Proficiency in Python and either PyTorch or JAX Experience with HPC, GPU is preferred Related Skills and Other Requirements Ability to collaborate on multidisciplinary research in a collegial environment
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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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the guidance of PWBM team leader and PWBM’s Faculty Director, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python
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defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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the areas of job performance, professional development/research support and service. Standards are outlined in the IUI Promotion & Tenure Guidelines: https://academicaffairs.indianapolis.iu.edu/Faculty