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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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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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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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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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. Experience with whole-cell brain slice electrophysiological recordings. 4. Experience with molecular biology, neuroanatomy and mouse behavior. 5. Experience with programming in languages including Python, R
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preferred. Knowledge of statistical methods, programming (e.g., Python, R), and data quality assurance techniques. Proven ability to work collaboratively in an interdisciplinary environment and engage with
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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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. Experience with software development in a scientific environment using Python, Ruby, Julia, R, or C++. Experience programming in Python, Matlab or similar tools Strong interpersonal communication skills (oral
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image