12 coding-"https:"-"FEMTO-ST"-"L2CM"-"Inserm"-"https:" research jobs at Pennsylvania State University
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REQUIREMENTS The College of the Liberal Arts, Department of Political Science is seeking applicants for part-time job of McManus Historical Events Coding Research Assistant. Job duties to include: Work with
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. The successful candidate may expect an average of 10 hours of work per week throughout the regular academic calendar. Job Duties Assist with data collection Assist with coding experiments Assist with building
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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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related tasks. Responsibilities: 1) Biomedical data analysis (40%): Statistical analysis of biomedical data by using existing methods and developing custom code scripts. 2) Bioinformatics method development
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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
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, and English language arts teaching and learning Prior research experience in any of the following: Adobe Premiere Pro; Excel; web design and development; online engagement; video coding and analysis
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transcription Support coding and analysis of video and interview data Organize and maintain research files and datasets Conduct literature reviews and assist in summarizing findings Required Qualifications
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musculoskeletal research (relevant publications include Khajuria el al . Bone 2020; Khajuria el al . Bone Research 2023; Khajuria el al . JBMR 2023). The lab’s primary focus is to identify roles of non-coding RNAs
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; Khajuria el al . JBMR 2023, Khajuria el al . Front Immunol). The lab’s primary focus is to identify roles of non-coding RNAs as well as RNA processing mechanisms in bone regeneration, and to define
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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