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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, b) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and
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of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software for advanced data analysis and/or experimental control (e.g., Python
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technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the Research Group The Environmental epidemiology ERA Chair research group integrates approaches
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manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. • Supervise other personnel in the laboratory; participate in
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or Aerospace Engineering. First-author peer-reviewed published papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable
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an LLM-assisted software framework for first-principles simulations, thereby gaining extensive experience within scientific software development and AI-driven workflow automation. The work will initially
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. Contribute to high-impact publications and dissemination, including methodological papers, statistical frameworks, and open-source software development. This position is part of a recently funded, large-scale
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, formal and informal Preferred Qualifications: Record of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software
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, Biomedical Informatics, Health Information Technology, or a related field • Evidence of high-quality research productivity (publications, presentations, software, system prototypes) • Strong analytical and
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets