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depth in some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
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research methods. This is an academic, full-time, non-tenure track benefits eligible term opportunity located in Ithaca, NY on the campus of Cornell University. Application Deadline: Applications must be
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, computational methods and theories for humanistic and social scientific inquiry, and the ethical, political, or historic dimensions of artificial intelligence but we will consider outstanding applicants working
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approaches, including machine-learning methods, that improve the identification or enumeration of overlapping vocal individuals. Array localization, spatially explicit capture-recapture, distance sampling
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analytical or quantitative techniques (e.g., GC–MS, chromatography, or related analytical methods) Background in early-season pest management, seed pathology, or soilborne pathogen systems. Additional
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experimentation • Experience working in applied agricultural systems or IPM-focused research • Experience with analytical or quantitative techniques (e.g., GC–MS, chromatography, or related analytical methods
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studies will also be considered. Computational methods, content analysis, surveys, and other methods can be used complementarily, but should not be the primary method. Viable path towards access
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designs and regional-to-continental scale investment of monitoring resources. Developing methods to quantify and propagate uncertainty across integrated monitoring frameworks Developing methods for joint
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team, as well as the willingness to learn new methods and techniques and to collaborate with others as the projects evolve. Pay Range: $63,480.00 - $71,000.00. Salary will be commensurate with
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are especially excited to hear from candidates eager to invent new tools, wetlab approaches for circulating nucleic acids, interpretable machine learning for biomarker discovery, and methods we haven’t imagined