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: To develop and apply models of microplastic fate, transport, and human exposure across multiple environmental media. To integrate environmental monitoring and laboratory datasets with exposure and risk
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research and requires the ability to manage multiple projects simultaneously while following established protocols with minimal supervision. This position will support and coordinate projects involving a
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/reports based on various databases related to space information, capital planning, capital project delivery, energy and sustainability, and facility operations by extracting data sets from multiple software
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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to ten years of research experience. Prior experience with electrophysiological and/or brain imaging data collection and/or processing. Experience and/or training in programming (e.g., Matlab, Python, etc
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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and performance optimization. The position is specifically designed for a candidate combining hands-on experimental competence, Python-based simulation and data analysis expertise, and experience in
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workflows. 3. Programming Skills: - Proficiency in C++/or Python programming languages is essential. 4. Research Contributions: - Demonstrated publications in AI for Materials Chemistry. 5. Collaboration and
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settings. Knowledge, Skills and Abilities • Proficiency in statistical software such as R, Stata, SAS, or Python (R preferred). • Experience with data wrangling, reproducible research pipelines, and version
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we think about the world. Your opportunity: The Data Sciences Institute (DSI) is a highly specialized research initiative at the University that draws on world-class research expertise across multiple