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, developers, and policymakers through qualitative and quantitative data collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate
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science research and perform data analysis. 15% Publication and Presentation. Lead and/or contribute to peer-reviewed publications and conference and public presentations to share research findings. 10
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: Position Type: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Ecology / Avian Ecology statistical analysis Natural Resources Appl Deadline: none
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the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput screening Supervision Exercised This job comes with a high degree of autonomy. The successful
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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Education, STEM Education, Engineering, or a related field. Demonstrated expertise in quantitative and qualitative research methods. Experience with human subjects data collection, analysis, and
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collection, analysis, and interpretation. Excellent oral and written communication skills. Ability to work independently as well as collaboratively within a research team. Application Procedure: A cover letter
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collection, analysis, and interpretation. Excellent oral and written communication skills. Ability to work independently as well as collaboratively within a research team. Application Procedure: A cover letter
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biochemistry. The ideal candidate will also have significant experience with: genome-wide DNA and RNA sequencing and analysis techniques, marine animal husbandry, and embryological manipulations. Supervision
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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas