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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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cultures, molecular and genetic analysis, and protein analysis techniques. Additionally, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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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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: 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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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data