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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that
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. Python) for data analysis and graphics. Excellent data organization skills Preferred Qualifications Knowledge of and experience working with forest trees to answer contemporary questions in ecological
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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. Experience with ANSYS Fluent, STAR-CCM, and/or FORTRAN and Python programing languages are preferred. Experience in using High Performance Computing (HPC), especially involving use of a Linux environment, is
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets