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employment for doctoral students on Lund University’s Staffpages. https://www.staff.lu.se/research-and-education/research-support/doctoral-education/terms-employment-doctoral-students How to apply Applications
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
pipelines and export of human interpretable format(s) (graphs/figures, tables, etc...); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 29 days ago
at ahmed.abdeljawad@oeaw.ac.at Your Profile Master Degree in Mathematics, Applied Mathematics or a closely related field. A strong background in at least one of the following areas: ▻ Harmonic Analysis
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output. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR137-HENJAF-017/Default.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Research
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Previous Job Job Title Data Scientist Next Job Apply for Job Job ID 373282 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code 8351DI Employee Class
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employment for doctoral students on Lund University’s Staffpages. https://www.staff.lu.se/research-and-education/research-support/doctoral-education/terms-employment-doctoral-students How to apply Applications
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Previous Job Job Title Geospatial Data Scientist Next Job Apply for Job Job ID 373099 Location Twin Cities;Duluth Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code
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and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq
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, programming, analysis and modeling in order to support projects. The Data Scientist/Statistician I will implement the research analyses, executing large-scale data harmonization, statistical analysis, and
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, harmonization, aggregation and analysis of clinical data for a large ophthalmology repository. Extract information from unstructured electronic health record text using large language models (LLMs) and clinical