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spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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. Experience with quantitative methods and data analysis. Applications and Inquiries Applications can be submitted online via https://apply.interfolio.com/184157 . Application materials should include a
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methods and data analysis. Applications and Inquiries Applications can be submitted online via https://apply.interfolio.com/184154 . Application materials should include a curriculum vitae; a letter of
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candidate will help with: Metadata acquisition and curation of the data collected Data acquisition and storage for metabolomic analysis Performing quality control on the data produced Statistical analysis and
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Posting Details Position Information Position Title Adjunct Instructor, Real Estate Development Department Urban and Regional Planning Posting Number F260037 Posting Link https
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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. Desirable Skills: Basics in metabarcoding (16S rRNA data analysis). Basics in metabolomics. Basic knowledge in biostatistics and data analysis. LanguagesFRENCH Research FieldBiological sciences » BiologyYears
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: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Finance / Grant Writing Quantitative Analysis Data Analysis research Artificial Intelligence Appl Deadline
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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development