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in the future for visa sponsorship. Key Responsibilities : · Research (70%) o Data management o Statistical methods development o Exploratory data analysis o Bioinformatics analysis
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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: · Participate in grant writing · Data management and analysis · Grant-based activities · Collaborate with multidisciplinary, multi-university research groups · Apply for internal
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strong preliminary data, including: · Investigating the role of a key protein in regulating vesicle trafficking, with relevant biological endpoints already identified. · Exploring
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sgRNA design. · Perform molecular and cellular assays to investigate gene regulation, extracellular vesicle signaling, and therapeutic efficacy. · Analyze and interpret data, prepare
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project at the intersection of RNA biology, cancer biology, and virology. Experience in molecular biology, data analysis, and tissue culture is required. The Wang laboratory is currently studying The role
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stakeholder needs · Assess and establish feasibility of proposed studies (e.g., synthesizing preliminary data, discussions with stakeholders) · Lead the drafting, writing, and submission
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sgRNA design. · Perform molecular and cellular assays to investigate gene regulation, extracellular vesicle signaling, and therapeutic efficacy. · Analyze and interpret data, prepare
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. The selected candidate will assist with projects involving analysis of longitudinal data with missing, correlated data, and truncated outcome data. Pursuit of independent research that aligns with the project
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biology • Proven experience and familiarity with metabolism • Experience in analyzing "omics" data sets, for example, metabolomics or RNAseq Knowledge, Skills and Abilities: • Ability to maintain excellent