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postdoctoral experience. Extensive experience with functional MRI approaches for studying human brain function. Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong record of peer
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• Understanding of agricultural production systems in the U.S • Experience working with spatial data and machine learning models. • Strong knowledge of programming languages, such as Python, R . • Demonstrated
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technologist; Programming skills in R, Python, Perl, BASH or similar; Experience/coursework in Linux and SQL environments; Familiarity with the Illumina platform and commonly used genomics software On going
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. Skills & Knowledge: Familiarity with qualitative data analysis software, such as Dedoose, is essential Experience in K-12 education preferred Proficiency in either R or Python at an advanced level is
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journals required; technical expertise in medical imaging physics and image reconstruction required; ability to program in Matlab and Python required. Requires successful completion of a background check
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, preferably in a biobanking, tissue repository, or clinical research setting. Experience with LIMS, REDCap, or equivalent systems. Proficiency in SQL, Excel, and data analysis tools (e.g., R, Python, Tableau
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Programming in Python CSE 2221 Software I: Software Components CSE 2231 Software II: Software Development and Design CSE 3231 Software Engineering Techniques CSE 3241 Introduction to Database Systems CSE 3341
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related quantitative field. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication
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to have strong data analytic and programming skills in Python and/or R, as well as proficiency in Unix/Linux system. Review of applications will begin immediately and will continue until the position is
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. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication Additional Information: Location: Pelotonia Research Center (1040