19 finite-element-analysis Fellowship research jobs at Nature Careers in United States
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clear data presentation, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Previous
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analysis, PTM identification. Application Instructions Candidates must apply in Interfolio and provide the following materials for submission: Cover letter, CV, List of references with contact information
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with one year of demonstrated expertise in biology, 10x Genomics, and single-cell transcriptomic analysis. The successful candidate will contribute to cutting-edge medical research projects focused
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-affiliated hospitals. Responsibilities The postdoctoral fellowship work will focus on analysis of sequencing data from primary blood samples of cancer patients enrolled in the CH CARE Study before, during and
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) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)
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electrophysiology: Proficiency in whole-cell patch clamp recording, acute slice preparation, and/or cell culture electrophysiology, along with related data analysis methods using tools such as MATLAB or Python
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics
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to: culturomics, metagenomics, metabolomics and computational analysis.