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using Python based programming tools. Notes: This is a full time, 3 year, term appointment that may be renewed to a maximum of five years. This position is represented by a union for collective bargaining
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contact angle (wettability) data. Compile and plot research data using Excel, Origin, Python, or other relevant software. Conduct laser processing and diagnostics data comparisons, and evaluate data
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experience in Python, Java, C++, JSON, Node.js (JavaScript), Ruby, and relevant scripting languages. Certifications in AI/ML technologies or cloud platforms (AWS Certified Solutions Architect a plus
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at time of start) PhD in plant biology or related discipline Preferred qualifications 2 years experience in comparative genomics/transcriptomics 1 year experience at the command line (R/Python preferred) 2
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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such as R and/or Python and experience working with GitHub; ● Knowledge in financial instruments for conservation such as carbon credits or bonds; ● Experience developing or applying economic models and
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datasets. Experience writing code in C++, Python, OpenMP, and MPI (or related HPC languages). Demonstrated experience in leading new research projects. Demonstrated experience in writing research/funding
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such as R and/or Python and experience working with GitHub; ● Knowledge in financial instruments for conservation such as carbon credits or bonds; ● Experience developing or applying economic models and
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programming languages such as Python, with experience in using machine learning libraries and frameworks. Experience with high-performance computing. Notes: This is a full-time, 2-year, postdoctoral appointment
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Preferred qualifications At least 1 year of experience in data analysis. Clean, efficient coding abilities, preferably in R and/or Python. Experience working with geospatial data in R, Python, and/or GIS