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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface
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parallel projects will ensure the development of independent projects to support the long-term career goals of the applicant. Generally, the project will center around leveraging bacterial and mammalian
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element library FeNiCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and written skills. Additionally
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may include rodent handling and husbandry, harvesting and culturing primary mouse neurons, Western blotting, DNA cloning, culturing of cell lines, fresh tissue processing, immunohistochemical staining
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Position Summary This position will be working with existing research staff and graduate students to research, develop, implement, and test novel signal processing and robotics software for applied
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modeling, medical image processing, and machine learning techniques. Excellent communication and written skills. Required Application Materials CV and cover letter Website me.msu.edu MSU Statement Michigan
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal
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considerations Using and developing data acquisition and signal processing software (LabVIEW, MATLAB, etc.), mainly for temperature and pressure data. Some familiarity with magnetic fusion energy Required
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal