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or related discipline area. Experience and skills in coding and running analyses in R, and quantitative modelling to address scientific questions in evolution. Broad background knowledge of vertebrate
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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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potential and performance relative to opportunities when assessing suitability for the role. Applications close 25 June 2025 at 11.00pm AEST (R-52892). Please note that interviews have been tentatively
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 23 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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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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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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with a research team. Applicants must have strong statistical modelling skills using R. You will have experience of a range of relevant statistical techniques, potentially including mixed effects models
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, statistics, computational biology, or a related field; Strong programming skills in one of the traditional programming or scripting languages (R/Python/C++); Experience working in a Linux environment; A strong
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coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety