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Conduct laboratory experiments at the Magnetized Plasma Research Laboratory, a premier plasma science multiuser research facility Develop, run, and analyze data using Python and molecular dynamics
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institution, with demonstrated expertise relevant to structural dynamics, sensing, signal processing, or data-driven analysis of physical systems. • Strong programming skills in Python, including experience
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, completed by the start date or within six months of hire Demonstrated quantitative research skills, including experience with longitudinal or pre/post designs and proficiency in R, Python, Stata, or SPSS
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running data analysis from plant breeding programs. Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and
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methods; developing and maintaining data analysis tools and processing pipelines in Python; helping with proposal preparation; preparing manuscripts for publication in peer-reviewed journals; and
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environment Preferred Programming skills in Python or Fortran Coding and/or machine learning experience Key Responsibilities & Accountabilities Conduct original research as the primary responsibility
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analysis (16S rRNA sequencing, QIIME2, DADA2, R/Python) and experience with rodent models of inflammation or dietary intervention studies. Applicants should be highly motivated and creative, have excellent
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago; Interest in learning and developing new computational methods. Desired: Experience working with large datasets; Excellent computational analysis skills; Proficiency in R or Python; Solid knowledge
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. Solid state physics; thermodynamics and kinetics; Python coding and machine learning skills. Additional Application Materials Required: Special Instructions to the Applicants: The Ph.D. must be conferred
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analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud computing resources, following best practices