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, Computer Science, Biophysics, Computational Biology, Molecular Biology, Genomics, or a related field Proficiency in computational data analysis and experience handling large datasets A track record of scientific
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. The position will involve working with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis
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. The position will involve working with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis
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with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis of case studies
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and/or case-crossover analyses, and have a promising publication record. Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization
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physiology. Research will focus on mechanisms underlying cellular reprogramming, pluripotency, gamete maturation, fertilization, and early embryo development using cellular and large-animal experimental
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agricultural landscapes. ● Publishing research findings and contributing to policy briefs, practitioner resources and other decision-support products. ● Collaborating with a large interdisciplinary team spanning
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these
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. ● Collaborating with a large interdisciplinary team spanning academic, NGO and practitioner communities. Anticipated Division of Time ● 60% Systems modeling, synthesis and scenario development ● 20
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, spatial statistics, machine learning approaches, large ecological datasets Previous experience with passive acoustic monitoring and/or eBird data Familiarity with ecology and/or ornithology Demonstrated