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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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. For the Working Group “Ecosystems in Transition” in RD1 at PIK, we are offering a PhD position (m/f/d) (Position number: 10-2026 PhD ARTECO) in the field of ecological modelling of complex arctic landscapes
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highly motivated Postdoctoral Scholar to work at the interface of fire ecology, forest dynamics, and ecosystem modeling as part of the Western Fire and Forest Resilience Collaborative (WFFRC; https
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invites applications for a postdoctoral position in terrestrial ecosystem dynamics in the laboratory of Professor Paul Moorcroft http://www.oeb.harvard.edu/faculty/moorcroft/ . The successful candidate will
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to evaluate performance, linking agronomic and ecological outcomes with socio‑economic results to identify trade‑offs within the AGRITASC Living Labs. Your PhD will combine model/tool work with direct
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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challenges. The ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and
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Ecology and Evolutionary Biology, Environmental Science, Genetics and Genomics, and Bioinformatics and Computational Biology. Department Unit/Website: https://www.eeob.iastate.edu/ Proposed Start Date
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with a PhD in climate sciences, agronomy, biogeochemistry, or functional ecology, with a strong interest in modeling. Skills in model-data comparison and relational databases would be appreciated, and
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, biochemical, ecological and physiological measurements and experiments with remote sensing and numerical modelling to create in-depth understanding of the processes that control estuarine and delta systems. One