31 modal-analysis-machine-learning Postdoctoral positions at University of Maryland, Baltimore
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positions: Qualifications 1. Computational Biology & Data Integration Using multi-omics microbiome analysis, single-cell transcriptomics, and machine learning–based biomarker prediction models, this project
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. Such analysis will be coupled with modern functional studies and incorporate epigenetic treatment to modulate both tumor cells and the cells of its microenvironment using diverse pre-clinical models
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in bioinformatics, molecular microbiology, and/or microbial ecology/evolution to apply. Qualifications Key areas: * Metagenomic and metatranscriptomic sequencing analysis * Single-cell RNA-seq and
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areas: · Metagenomic and metatranscriptomic sequencing analysis · Single-cell RNA-seq and proteomic/metabolomic data integration · Integration of clinical and multi-omic microbiome data
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microbiology, bacteriology (BSL2), molecular biology, cell culture, microscopy, and statistical analysis, and expertise in either infectious disease research. We are looking for someone with an interest in basic
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI
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cloning, virus design and construction, and gene expression in vitro and in vivo is needed. Expertise in stem cells and immune cells is desirable including with CAR T or NK cells. Familiarity with FACS is
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. Qualifications: The ideal candidate will have extensive experience in T cell-based immunotherapy (it might include CAR T cells), including studies on in vitro T cell–cancer cell interactions demonstrated by
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skills and research areas will be favorably considered: isolation and culture of adipose and primary liver cells, flow cytometry analysis of immune cells, atherosclerotic plaque analysis in mice, lipid
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, being responsible for literature analysis; experimental design, execution, and analysis; and manuscript writing and submission. Strong communication skills and ability to work with internal and external