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of low birth weight. The successful candidate will support the delivery of impactful health service research through stakeholder engagement, research coordination, data analysis, knowledge translation and
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altimetry (ICESat-2, CryoSat-2, SWOT and forthcoming CRISTAL) missions, supported by meteorological data, climate reanalysis and in-situ observations. The project will focus on case studies from Arctic
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frameworks (CSRD, ISSB, GRI, TCFD, TNFD, etc.) is a plus. Methods: Strong qualitative (interviews, process tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field
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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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spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad
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the integration of environmental science, remote sensing, artificial intelligence, systems modelling and data science. Through initiatives such as the Landscape Observatory, the Centre develops innovative solutions
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interest describing their research experience, research interests, and future research plans (1–2 pages); 2) A full curriculum vitae, including contact information for three referees. 3) A PDF copy of their
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the