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decision-making Preferred Qualifications: Previous experience with passive acoustic monitoring and/or eBird data Strong background in statistical modeling Familiarity with ecology and/or ornithology
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monitoring, and will help define the Lab's long-term research agenda at the intersection of community science, passive acoustic monitoring, and statistical ecology. This position is part of a broader effort at
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-ecological systems. Experience conducting research in India, or more broadly in smallholder livestock systems, especially in the Global South. Experience with quantitative modeling of livestock systems
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strong interests in system dynamics approaches to understanding drivers and causes of disease emergence, and deep interest in understanding zoonotic systems from the ecological, epidemiological, and
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quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with R and analyzing spatial datasets. Ability to apply quantitative methods
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scientist to conduct research on the ecological, chemical, and the molecular mechanisms that mediate in microbe-plant-insect interactions in complex communities using model and non-model organisms
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Position Description Postdoctoral Research Associate Division of Nutritional Sciences, College of Human Ecology Cornell University The Johnson lab is seeking to welcome a postdoctoral research
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quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with R and analyzing spatial datasets. Ability to apply quantitative methods
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interactions. The ideal candidate will bring expertise in microbial ecology and microbiome sequencing and/or microbial metabolomics. This researcher would work across multiple projects that aim to understand
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structural errors, reducing manual effort from weeks to minutes thus that allowing to scale up to thousands of species per year; To build Genera , a multimodal AI system that integrates genomic and ecological