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candidate will apply spatial transcriptomics and single-nucleus RNA sequencing to human adipose tissue biopsies to investigate cytoarchitectural features and cell-type specific changes associated with disease
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immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is external) How to Submit
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60 faculty members in the Department. Please visit the website at https://www.polyu.edu.hk/abct/ for more information about the Department. Duties The appointee will be required to: (a) conduct
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environmental and spatial datasets. • Write and publish scientific articles and reference documents that support the dissemination and valorization of research results. • Collaborate with academic partners
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-species or comparative genomics analyses. Experience with single-cell and/or spatial omics data analysis. Familiarity with workflow management systems (e.g., Snakemake, Nextflow, WDL). Experience with
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. Experience with single-cell or functional omics data types and analysis workflows. Experience with spatial omics or imaging data formats and analysis. Familiarity with R. EDUCATION & EXPERIENCE (REQUIRED
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. The position is funded through an HHMI grant to investigate the transcriptional regulation of cell-to-cell communication in plant stress response. The Cox Lab uses spatial and single-cell genomics, imaging, and
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spatial omics data analysis. Familiarity with workflow management systems (e.g., Snakemake, Nextflow, WDL). Experience with or interest in clinical translation or biomarker development in a research setting
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should