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to scaling R&D concepts into practical engineering solutions, bridging the gap between research and application. Compile and present detailed technical documentation and progress reports to fulfill
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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Strong research background in statistical learning problems, especially from a theoretical perspective, as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral communication skills
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programming (e.g., R, Python). Strong record of peer-reviewed publications in plant science or related fields. Excellent communication skills and ability to work in a collaborative, interdisciplinary team
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 20 days ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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nationally ranked for excellence. CMU leads the nation in leadership development programming through our Sarah R. Opperman Leadership Institute, and we are proud to be among only 5% of U.S. universities in
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proficiency in data analysis tools (e.g., Python, R, SPSS). Proven track record of conducting research in AI safety, governance, or related areas, with publications in peer-reviewed journals or policy reports
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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Wednesday 16th July 2025 at 11.00pm AEST (R-52492). Please note that interviews have