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Field
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focus on machine learning in the Stanford Center Cancer Cell Therapy at Stanford University School of Medicine. We seek a highly creative and motivated scientist to perform cutting-edge computational
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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data set to be used for Machine Learning (ML). They will validate a predictive model generated by ML by preparing new samples with ideal monomers and contrasting their properties with predicted values
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Post-Doc Research Associate Vacancy ID PDS004238 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Position Title Post-Doc Research Associate Vacancy ID PDS004495 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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and apply methods for analyzing genomic variations, e.g. SNV, SNP, SV, CNV, methylation, and gene expression Develop tools using machine learning and AI Prepare high-impact manuscripts for publication
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Position Information Posting Number F00633P Position Title Post Doc Department Social Work Location Arlington Job Family Faculty Position Status Full-time Rank Non-Tenured Work Hours Standard Open
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(PhD, MD, or equivalent) conferred by the start date. Proven research and/or professional experience in machine learning and/or natural language processing, with a preference for prior experience working
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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/Licenses DVM/MD or Doctoral degree (Ph.D.) in biomedical sciences. Computer Skills · High degree of familiarity with bioinformatics and computerized scientific databases. · Solid mathematical abilities as