263 parallel-processing-bioinformatics positions at Colorado State University in United States
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of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact. References will not be contacted without prior notification
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demonstrate attention to detail, an interest in genetics, ability to focus for long periods of time, and dedication to quality work. Much of the work consists of processing plant samples and will entail full
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, including those new to the profession. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed
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, including those new to the profession. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed
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contact information for three professional references. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out
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Institutional Review Board protocols and guidelines. Data collection and subsequent analysis using custom computer programs. Data entry and management of electronic data records. Statistical analysis. Training
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Institutional Review Board protocols and guidelines. Data collection and subsequent analysis using custom computer programs. Data entry and management of electronic data records. Statistical analysis. Training
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custom computer programs. Data entry and management of electronic data records. Statistical analysis. Training other personnel in data collection and analysis. Supervision of the activities
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protocols and guidelines. Data collection and subsequent analysis using custom computer programs. Data entry and management of electronic data records. Statistical analysis. Training other personnel in data
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Institutional Review Board protocols and guidelines. Data collection and subsequent analysis using custom computer programs. Data entry and management of electronic data records. Statistical analysis. Training