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deploy genome assembly, annotation, and functional profiling pipelines using long-read and Hi-C sequencing data. Integrate genomic and metagenomic results to identify key determinants of productivity and
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: Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning. Hands-on experience with
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of Research ExperienceMore than 10 Research FieldEngineeringYears of Research ExperienceMore than 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
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productive team. Under the technical guidance of an experienced scientist, the Research Scientist/Engineer 2 (RS/E 2) will apply data mining techniques to extract, clean, and analyze various sources of data
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scientist, the Research Scientist/Engineer 4 (RS/E 4) will apply data mining techniques, perform statistical analysis, develop visualization techniques, and build automated tools that can assist with
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historical data. You will evaluate the performance of these models on real industrial cases in order to propose a demonstrator or prototype that can be used in production. Where to apply Website https
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply
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very productive team. Under the technical guidance of an experienced scientist, the Research Scientist 3 will apply data mining techniques, perform statistical analysis, develop visualization techniques
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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email gbi@eit.org for additional information. We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://apply.workable.com/ellison-institute