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degree in economics, computer science, or another quantitative discipline (such as, but not limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab
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towards histopathology and spatial sequencing experiments. Extract RNA/ DNA from tissues and prepare sequencing libraries. Analyze spatial sequencing data using Python or R. Perform rodent neurosurgeries
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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EMS mutagenesis protocols in plants. Prior work involving biochar, soil amendments, or sustainable forestry applications. Experience with R, Python, or other bioinformatics tools for omics data analysis
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programming languages such as Python or R and data-analysis platforms for genomics, proteomics, and transcriptomics. Excellent project management skills. Ability to multitask and work within timelines. Capable
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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Python and LabVIEW. - Experience in or desire to learn computer assisted design (CAD) software like SolidWorks. Application Instructions Please upload the following with your application
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limited to, physics, engineering, or mathematics). A strong foundation in programming (especially Python, Matlab and Stata) is highly desirable. The candidate must be self-directed, thrive on independent
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epigenetic and transcriptomic data analysis Experience in UNIX and R programming and high-performance computing Demonstrated skills in computer programming with at least one scripting language (Python, Perl