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systems. IDI’s work spans the AI data ecosystem—from digitization, data structuring, and metadata synthesis, to safety and security analysis, all the way through to benchmarking and the development
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interest and expertise in neurohistology, stereology, and other microscopy analysis techniques. Additional projects and training opportunities can be tailored to suit the candidate's goals and interests
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field experiments. The projects will focus on products
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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include manage various datasets, estimate statistical models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according
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advertising budget, making informed and experienced decisions on promoting titles across the online channel. (10%) Utilize account platforms for analysis and insights. (10%) Research comparable titles which
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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work spans the AI data ecosystem—from digitization, data structuring, and metadata synthesis, to safety and security analysis, all the way through to benchmarking and the development of ethical and
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, and morphological analysis techniques to explore how venom has evolved in marine mollusks. Your work will span from the field to the lab, including: Sample collection from diverse, extant marine species