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connections (e.g., RESTful, SOAP) and working with standard programming/scripting languages (e.g., Python, JavaScript, SQL). Must have, keep and maintain the appropriate valid NYS Driver’s License; have a motor
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research experience in higher education, research agency, or medical institution Social science research experience SAS, SPSS, Python, R. Experience in visualization techniques and software The anticipated
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platforms, or file-based exchange methods. Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex
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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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performance analysis in a fully virtualized environment. These tools integrate QEMU-based emulation, external models, and a Python API for performance data extraction during application execution. A-DECA
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education (in progress or completed). In-depth knowledge of psychophysiological methods. Excellent knowledge of programming and data analysis software (R, Python, MATLAB). Ability to present and address
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analysis tools (R, Stata, Python or equivalent), aptitude for international research, the ability to engage in interdisciplinary dialogue with legal scholars and and to contextualize economic research within
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databases using GitHub Maintain databases using R, Python, and SQL in collaboration with members of the research team Create and link customized databases and analytic datasets in UNIX environments Assist in
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, including MacOS, and to be comfortable navigating the UNIX command line. A working knowledge of various programming languages, including, but not limited to, Python, Perl, and R, is also needed. Preferred: A
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. Basic proficiency in programming (Python, MATLAB, or similar) preferred. Familiarity with engineering simulation tools (ANSYS, COMSOL, etc.) is a plus, but not required. Strong written and verbal