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, or density ranges. We recognize that acoustic-based abundance estimation may ultimately require multiple complementary approaches that address different components of the acoustic observation process and
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, the Postdoctoral Associate will gain experience working with researchers from different disciplines and will receive training in proposal writing, collaborative science, and translating research to application
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level of independence Experience in the management of research, scientific, or academic projects Experience in writing research code in collaborative settings using languages such as R and Python Ability
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, or academic projects • Experience in writing research code in collaborative settings using languages such as R and Python • Ability to work effectively as part of a multi-disciplinary research team • Strong
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
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— are central to the biology of disease transmission, yet the regulatory architecture underlying these differences remains poorly understood. The successful candidate will combine functional genomics approaches
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, reproductive physiology, immune competence, and vector capacity — are central to the biology of disease transmission, yet the regulatory architecture underlying these differences remains poorly understood
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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languages like Python or C, and or developing and/or using computational methods for analyzing large datasets. Demonstrated experience in developing computational algorithms for solving problems, preferably
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python