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Moléculaire (L2CM) is a joint research unit of the Université de Lorraine and the CNRS (UMR 7053), comprising around 40 permanent staff members and 20 PhD students and postdoctoral researchers. Founded in 2018
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Are you passionate about integrating agronomic, genomic, and remote sensing data to better understand plant stress, disease progression, and crop resilience? Do you enjoy working across field campaigns
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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offered a fixed term contract to 30th April 2029, starting no earlier than 1st May 2026. This role is a hybrid role which is 50% onsite and 50% working remotely Research staff at King’s are entitled
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plus and will help you engage effectively with local communities and operational partners. Where, how, and with whom you’ll work You will join the Geoscience and Remote Sensing department at TU Delft
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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies. You must hold a PhD/DPhil (or be near completion) in epidemiology, public health
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the fields of Artificial Intelligence (AI) and Earth Observation (EO). It has extensive experience in remote sensing, particularly in radar imaging and its application for measuring surface displacement. It
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for healthcare and dependent care expenses Responsibilities* Integrate survey and administrative datasets with environmental data (e.g., remotely sensed temperature and air pollution) Perform econometric analyses
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying