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(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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administrative staff Following standards, write, maintain and document Linux scripts needed in support of applications Work with ERP project team (or other project teams as required) to determine needs, set
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datasets tailored to specific analyst needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: You’ll be responsible for developing software
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datasets tailored to specific analyst needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: You’ll be responsible for developing software
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datasets tailored to specific analyst needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: You’ll be responsible for developing software
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biological data analysis, with experience working in Linux/Unix environments. Demonstrated experience designing and implementing reproducible bioinformatics pipelines. Experience working with high-performance
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scientific and operations teams and act as liaisons to ORNL’s broader risk management framework. We are a Linux focused environment with security challenges that prioritize scale, performance, and scientific
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Reasoning, Genome Sequencing, Group Problem Solving, Human Genetics, Linux, Model Organism, R Programming Grade R09 Salary Range $41,700.00 - $75,600.00 / Annually The salary range reflects base salaries paid
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, Critical Reasoning, Data Management, Group Problem Solving, Linux, Perl Programming, Python (Programming Language), Statistics Grade R11 Salary Range $55,200.00 - $100,000.00 / Annually The salary range
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of experience developing and supporting web applications, including: Backend development in a high-level language, such as Python, JavaScript, Bash, or similar, for deployment in a Linux or cloud