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Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Assistant. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome...
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Job Description The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Wang Chi Cheung and Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to...
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://lkyspp.nus.edu.sg/our-people/faculty/joelle-fong ) who is the Principle Investigator for the 5-year research programme covering 2023-2027. The successful candidate should have a background in statistics and
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/ Discipline: Bachelor’s or Master’s degree in Life Sciences, Computer Science, Mathematics, Statistics or related fields Skills: Strong organizational and communication skills, able to work extremely well with
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with the research design and statistical analyses Assist with writing progress and final research reports Contribute to research publications and presentations Engage in the dissemination of research
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), under a brain-computer interface paradigm, as well as statistical data analysis. Specifically, the researcher is expected to: 1. Be involved in planning and executing data analysis and statistical
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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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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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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression