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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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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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with faculty to design, develop, and maintain reproducible data workflows using R, Python, and SQL to build software for experiments and applied research projects. Integrate and manage data from multiple
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multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods, programming, etc
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writing production-quality Python code to parse, validate, and transform microscopy image data from published research papers, public databases, and internal repositories. This role requires technical
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, or related fields. Strong programming skills in Python. 0–3 years of relevant experience. Experience building data processing pipelines (ingestion, cleaning, transformation, feature extraction, evaluation
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-aware modeling) - Understanding of RFID, retail reporting, inventory, compliance, or operational analytics (a plus) - Experience with Tableau or Python (bonus) - Experience using Power BI Desktop
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such as C#, Java, C++, or Python. Preferred Qualifications - Currently enrolled as an Auburn University student (preferably an undergraduate Sophomore or Junior) - Available for the Summer and Fall
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breadth and critical thinking is particularly valuable. Prior coding experience in Python or R, with willingness to learn Python-based tools. Demonstrated experience in community engagement and wide
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data