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characterization of deep-water habitats, GIS spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and
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to detail. Self-motivated, with the ability to work independently and in a team environment. Preferred: Proficient in at least one programming language (Python strongly preferred). Temple University is
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Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic characterization of deep-water habitats, GIS
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, Redcap, Python, and/or STATA. Experience with data management. An equivalent combination of education and experience may be considered. Required skills and abilities: · Excellent organization and
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Python and Bash scripts • Fluency with advanced machine learning techniques such as deep learning with scikit-learn, TensorFlow, and Keras. • Use software for data analysis and manipulation
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demonstrated versatility in teaching various courses, including but not limited to the areas of computer programming such as Python and R, health application development, health data management and SQL, Machine