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analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
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an ambitious research agenda and collaborate closely with the FIRM PhD candidates, Nationale‑Nederlanden and other partners. Designing and implementing a data collection protocol for flood damage observations in
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work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics
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19 Sep 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Engineering » Agricultural
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technologies, enabling data-driven—and ultimately autonomous—crop management in greenhouse and vertical farming systems. Postdoctoral Researcher in Autonomous Controlled Environmental Agriculture Our goal
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science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge of physics or biophysics. Knowledge
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of the "Regio Deal New Towns". Many neighbourhoods in these former New Towns were developed during the 1960s, 1970s and 1980s in response to the large housing shortages. Today, these municipalities face a set of
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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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remote sensing data. What you will do Changing fire dynamics will be studied using a Dynamic Global Vegetation Model (DGVM), allowing us to quantify different mechanistic processes. Using high-resolution