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tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus. Output orientation: Demonstrated capacity
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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, analytical, organizational, communication, and decision-making skills Contact Information: For questions , please contact Maria LoSurdo at mlosurdo@hsph.harvard.edu. Contact Email: mlosurdo@hsph.harvard.edu
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with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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analytical frameworks that integrate biophysical, spatial, economic and financial data, aligned with emerging international standards. Working closely with industry, government and academic partners, the role
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of nonstationary spatiotemporal data arising from weather and climate observations/models. About the role Level A - $113K - $121K plus 17% Superannuation and annual leave loading Fixed term – 2 years Full-time (35