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Modeling System (ROMS), strong familiarity with data processing and NetCDF format, and a working knowledge of programming/scientific languages (Fortran, Python, R, etc.) and Linux. The successful candidate
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,SPSS,Stata, R, Tableau, or similar, data collection approaches, and research/design evaluation. Demonstrated expertise in statistical analysis using scripting languages such as Stata, R, or Python and
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education required Experience with analysis protocols and meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux
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, Windows PowerShell, Python, and Perl). Experience with securely configuring and maintaining systems in accordance with common IT security policies and frameworks such as UC IS-3, CIS Benchmarks, NIST/ISO
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Experience with Python or R for statistical coding and visualization of data Key Responsibilities 30% - Research Data Preparation 30% - Statistical and Data Analysis Support 30% - Research Data Reporting
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health data systems. Proficiency in programming languages such as SQL, Python, PHP, GIS or other relevant tools. Strong analytical skills with the ability to interpret complex data sets, data exchange
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Script, JavaScript, Python or other object-oriented programming language. Familiar with relational database design and theory; IRIS/Cache, SQL Server, Oracle. Familiar with TCP/IP networking protocols
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related research programs and project analysis. Expertise in a range of engineering-related tools and applications including MatLab/Python, EnergyPlus, Labview, Excel. Preferred Qualifications Interpersonal
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batch/shell scripting or interpreted high level language scripting (e.g., GNU BASH, Windows PowerShell, Python, and Perl). Training or experience with securely configuring and maintaining systems in
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or programming skills (e.g., Python, Bash, PowerShell) Proven hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) in a security context Knowledge of network protocols, operating system