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, Social Sciences, or equivalent. Familiar with socioeconomic development of Indonesia. Familiar with working on the large economic datasets for statistical analysis. Demonstrate good organizational and
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analysis, manuscript preparation and grant applications. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares. Appointments will be made on a yearly
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. Proficiency in experimental design and statistical analysis is crucial. Candidates should also demonstrate a solid understanding of machine learning techniques and their practical applications. Ability to work
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computer vision applications if needed. - Evaluate the performance of computer vision models through statistical analysis and testing to ensure accuracy and reliability. - Provide insights and
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. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research experience with a track record of publications in top-tier journals in the field Relevant insurance
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statistical software (e.g., R) and programming languages (e.g., R, C/C++). • Excellent written and verbal communication skills. • Ability to work independently and collaboratively within a team. • Strong
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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression
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analyze ecological questions Good interpersonal and organizational skills Competent in ecological statistics and R (multivariate analyses, structural equation modelling, generalized linear mixed effects
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Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field Expertise in survey design Proficient in statistical modelling and econometrics Research on the human
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, i.e. STEM background • Comfortable scripting in and performing data analysis in Python or R, and Unix-based systems. • Experience in conducting statistical analysis (regression, analysis of variance