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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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productivity, along with excellent written and verbal communication skills. Experience with bioinformatics and programming for analysis of sequencing-based datasets (DNA, RNA, epigenetic) is highly valued
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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cells, antigen-presenting cells, cell culture, immunological techniques, multicolor flow cytometry, scRNA analysis are highly desirable. Please include the following information with your Resume/CV: Cover
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of sulfide research on Southwest Indian ridge: Major Research in Geophysics, Sulfide mineralization, Resources assessment The big data analysis on geochemistry of seabed igneous rocks and its applications
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for immune cells analyses, B cell repertoire analysis and immunohistology are key tasks along with cloning, expression and purification of proteins, cell culture, etc. Qualifications: Highly-motivated
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or clinical trial data analysis is advantageous. Please include the following information with your Resume/CV: Cover letter briefly summarizing your research interests and career goals Contact information
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of the three direction, each focusing on distinct but complementary areas of biomedical AI and data science: • Position 1: Postdoctoral Researcher in Medical Image Analysis (Pathology or Radiology) Duties