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Field
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.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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Science, Statistics, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
techniques and geospatial tools Proficiency in Python/R, big data platforms, and GeoAI/machine learning frameworks Experience in managing large data sets Required Education Doctoral Degree in the appropriate
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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simulation). Statistical programming ability (e.g., R and Python) are preferred. Supplemental Qualifications Demonstrated academic success through publications, conference presentations, and participation in
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant experience
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your PhD in computer science or engineering, the physical sciences, or a related field within the last five years. Comprehensive programming proficiency, preferably in Python. Experience with machine
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based on point defect based spin color centers in diamond and silicon carbide. Desirable: Coding skills in python for analysis of scientific data. Familiarity with infrared laser heating systems