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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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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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to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, comparative genomics, chronobiology, insect rearing, and/or ecological
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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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biology, marine restoration ecology, and habitat survey techniques. Experience in habitat suitability modelling (e.g. MaxEnt, Random Forests). Experience in molecular ecology and genetic analysis
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
anticipated to have a strong background in modeling and/or global ecology, is highly motivated to produce actionable science, and is ready to lead high impact journal publications. The postdoctoral research
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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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on biosafety and the management of infectious diseases in island ecosystems in the southern polar zone, using an approach at the interface between social anthropology and the ecology of infectious diseases
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, United States of America [map ] Subject Areas: Climate Change Environmental Studies / Environmental Justice Development Economics / Resource Economics Marine Science / Marine Ecology Coastal Marine Environment / coastal
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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