800 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" positions in United States
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Field
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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configuring/installing Internet Service Provider links, Internet2 services, engineering DWDM/Optical solutions, engineering routing solutions that span multiple campuses, and complex configuration changes
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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tools (e.g., R, Stata, Python) preferred. Ability to handle multiple tasks and meet deadlines with accuracy and attention to detail. Interest in working collaboratively in a team setting and learning new
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vital support for multiple scientific projects within the Department of Psychological Sciences at Purdue University by ensuring the smooth execution of daily research activities through exceptional
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programming language such as Python, C, or C++. (Required) Demonstrated proficiency with Microsoft Windows software including Word, Excel, MS Access or SQL Server Management Studio. (Required) Demonstrated
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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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to perform data analytics, evaluation and research studies, and report findings accurately, validly, and reliably. Utilize tools such as SQL, SPSS, R, and Python for advanced data analysis and to generate
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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such as R, Python, or STATA. Create and manage data sets from multiple internal and external data sources, pertaining to faculty, students, and staff. Serve as a resource of analytical support to various