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) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses
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or related Applied Economics discipline with a strong quantitative focus. Demonstrable knowledge of applied econometrics and statistical evaluation methods, such as: Difference-in-Differences (DiD
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for developing and refining scientific protocols, overseeing data collection and analysis using advanced statistical software (e.g., SPSS, STATA, R), and ensuring compliance with international standards. He/She
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Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Knowledge of basic molecular biology, genomics, and epigenetics. Experience in processing and
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; --> actively participating in data collection. - Organise and contribute to data processing and analysis, including statistical analyses such as Item Response Theory (IRT) modelling and exploratory and
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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temporal resolution. Background in network science, statistical physics and complex systems. (Optional) Familiarity with information-theoretic measures (Transfer Entropy / Symbolic Transfer Entropy) and the
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Post-doctoral Fellow / Senior Research Assistant (Holding the Functional Title of Senior Psychology)
and spoken English and Chinese. Strong research skills in Psychology or Social Sciences. Proficiency in statistical software (e.g., SPSS, Jamovi, or R), as well as MS Excel and Chinese typing
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/ live-cell imaging - Biological image analysis - Cell tracking - Cell culture - Quantification of biological data - Fiji / ImageJ · Statistical analysis 3. Desirable Skills - Centrosome dynamics
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conservation research projects, including fieldwork and laboratory activities. Lead and support field campaigns such as vegetation monitoring, seed science, soil and ecological assessments. Apply statistical