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Field
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and the terms of the research grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date
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publications Work effectively in a large, multidisciplinary, multi-institutional team of scientists and engineers. Basic Qualifications Must be a recent (within the last three years) PhD graduate in Biochemistry
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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Expertise in molecular, cellular, or microbial biology. Experience with computational biology approaches, including analysis of large-scale sequencing data. Background and strong interest in evolutionary
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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a related field. No experience required. Preferred Qualifications Prior experience with brain development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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demonstrated independent thinking and problem-solving abilities. Experience using large databases is preferred, and genetic data analysis skills are desirable. Required Qualifications PhD or MD in Public Health
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of global aerosol emissions using large ensemble data from RAMIP and other data sources. Lead writing of peer-reviewed publications and present findings at scientific conferences. Contribute scientific
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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: FAES