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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 30 days ago
Description The department EPID, led by Prof. Berit Lange, at the Helmholtz Centre for Infection Research (HZI), isoffering the position of a Doctoral researcher (f/m/d) Modelling vector-borne diseases in
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staff position within a Research Infrastructure? No Offer Description Subject description Forests play an important role in reaching the climate targets as they can act as natural carbon sinks. However
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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needed to regenerate the British countryside using cost-effective nature-based solutions that harness the power of ecosystems to provide broad societal benefits including biodiversity recovery and climate
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of different types of skills is shaped by and can facilitate the adaptation to some of the most pressing challenges faced by the global economy: population ageing, climate change, and the reallocation of workers
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providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations. The University of Arkansas campus is
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role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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modeling techniques to complex biological and ecological systems, with applications in forest productivity, climate resilience, and sustainable resource management. Why Work at Auburn? Life-Changing Impact
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for maritime navigation, environmental risk management, and understanding climate interactions in polar regions, particularly in the Arctic. Current forecasting systems, which rely on physical models and data
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and