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Field
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic staff and community organisations Downloading a copy of our Job
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work collaboratively in
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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Number: 203914 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Location: Busch (RU-New Brunswick) Create a Job