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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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, 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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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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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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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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that links air and road systems to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test