68 coding-"https:"-"Prof"-"FEMTO-ST"-"https:"-"https:"-"https:"-"P" positions at Pennsylvania State University
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, and purchases Champion data management and technology : Embrace coding, data entry, and report generation while working at the intersection of biology and data science, ensuring that our discoveries
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engineering with emphasis on the use of AI, Machine Learning, and/or other advanced technologies to address the challenges of construction regarding project scheduling, estimating, safety, building codes and
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design tools. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design, code, test, debug, implement, modify, and maintain Siemens Teamcenter
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code into production-level software applications using sound software development principles Conduct code reviews and provide mentorship to junior developers Identify performance bottlenecks and optimize
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research-level code into production-level software applications using sound software development principles Conduct code reviews and provide mentorship to junior developers Identify performance bottlenecks
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platform features to meet the business needs Troubleshoot and resolve data integration issues promptly Ensure data quality and integrity across all integration processes Document and maintain code, processes
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members to apply. You will: Work closely with a team to develop applications to best fit project needs Maintain version tracking and code documentation Support field testing – to include remote or in person
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reviewing drafts of grant applications, coding, designing new materials, or re-design existing materials, transcription, programming, database management, etc. Skills in statistical analysis in R or Stata
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this lab include collaborating with faculty on data collection, data management and coding, writing literature reviews, analyzing qualitative and quantitative data, writing manuscripts for publication
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, social media posts, podcasts). Support coding and analysis of interview and artifact data. Conduct literature reviews and assist in summarizing findings. Organize and maintain research files and datasets