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Ph.D. in a relevant discipline as well as evidence of conducting research aligned with the Project’s interests. Applicants should have the capacity to work with and analyze large observational datasets
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of the position is on designing and running large-scale online behavioral experiments. The postdoctoral associate will work collaboratively with PIs and other postdoctoral scholars at UC Davis, Princeton, and CUNY
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stipend plus support for travel and research-related expenses. The Research Associate will work closely with the Center's director and other finance faculty , primarily supporting research and data analysis
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effects in pediatric cancer. Collaborate with other researchers to better understand the complex interactions between health determinants and disease outcomes. Extract and analyze large datasets
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Arts and
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coding environments (e.g., R, Python). Ability to work collaboratively with a team of diverse backgrounds. Excellent written and verbal communication skills. Experience in processing large data sets
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global supply chain logistics. While ML has the potential to transform both applied large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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team are required. Preferred Qualifications Candidates with pulmonary research experience are preferred. Experience in understanding big data analysis (RNAseq, mass spec/phosphoproteomic analysis, etc