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Field
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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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of agricultural water analyses, including evapotranspiration and crop water use estimation, Familiarity with techniques for modeling crop-related processes and/or crop growth models, Familiarity with machine
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
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priorities, targets and deadlines, and have the ability to work and take direction from an established research team. You should have high computer literacy using Microsoft Office and some experience of using
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engine’s effectiveness (e.g. running experiments or user studies to assess learning outcomes). Documentation: Help document the system design, development process, and experimental results for project
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, Genetics or a related field preferred. High degree of computer literacy including familiarity with word processing, spreadsheets. Experience with computer programming languages such as R considered an asset
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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, Computer Engineering, or a relevant discipline; (ii) a good command of both English and Chinese; (iii) a strong publication record in the top-tier journals/conferences in the relevant field; and (iv