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: For questions about the application process, please contact Xiaomei Ma (xiaomei.ma@yale.edu ) and be sure to include "CPC T32" in the Subject line of your email. Create a Job Match for Similar Jobs About Yale
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-yale-center/ | https://www.linkedin.com/in/clemens-scherzer-md-812b72130/ Candidates should have a Ph.D. in a relevant quantitative field (e.g. CS, Bioinformatics, Statistics, Computational Biology), a
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have a strong research track record and must hold a Ph.D. and/or M.D. degree. A background in nucleic acid biochemistry, bioinformatics, and/or data science is advantageous, but we welcome talented
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills
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genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics. The candidate should also be able to work cooperatively with peers
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and experience in natural language processing, machine learning, and deep learning. • Strong written and oral communication skills in English. • Ability to work independently and as part of a team
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& Planetary Sciences at Yale University (http://earth.yale.edu) announces a competition for the Richard Foster Flint Postdoctoral Fellowship. We welcome applicants with research interests in climatic processes
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references; and o A one-page statement about your aims for postdoctoral training through the Yale CPC T32 training program. Questions: For questions about the application process, please contact Xiaomei Ma
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-on experience in all aspects of clinical research in a psychiatric setting, including clinical screening, recruitment of study participants, capture and processing of study data, interpretation and dissemination
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investigate localized mRNA processes—such as selective translation, transport, phase separation, and localization—that enable cells to respond to mechanical stimuli. This project will explore RNA-based