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Field
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extensibility. The ideal candidate for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following
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. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential. NYUAD offers a stimulating research environment led by a distinguished
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strong work ethic Ability to effectively communicate both orally and in writing Ability to conduct clumped isotope measurements Working knowledge of Python and other programming language used for clumped
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-funded research project focused on teacher professional learning in English language arts. The ideal candidate is a scholar in literacy/English teacher education and teacher learning who has extensive
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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Associate in PFAS Predictive Modeling with the University of Maine Cooperative Extension will establish and sustain a dynamic research and educational outreach program to address data and modeling needs
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central
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Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis of multi