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of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software for advanced data analysis and/or experimental control (e.g., Python
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interactive projects is desirable. Candidates should be able to teach (instruction as well as laboratory experiences) comfortably and competently on at least the following subjects: C and Python programming
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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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. Candidates should be able to teach (instruction as well as laboratory experiences) comfortably and competently on at least the following subjects: C and Python programming; digital logic and SoC on FPGA; and
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of the REST and XML protocols Professional experience in any modern object-oriented programming language (for example: C#, Java, PHP or Python.) Familiarity with Agile development methodologies **Sponsorship
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desirable. Candidates should be able to teach (instruction as well as laboratory experiences) comfortably and competently on at least the following subjects: C and Python programming; digital logic and SoC
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systems GPS or GIS software, Multispectral or NDVI data collection Basic statistical software (R, SAS, or similar) Programming experience (Python, Arduino, ROS, etc.) Familiarity with weed identification
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with RNA-based assays, spatial transcriptomics, cryosectioning, or histology Basic computational or data analysis skills (e.g., R, Python, ImageJ/Fiji, MATLAB) Experience with plant care, genotyping, and