32 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" research jobs at University of Colorado
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Data Analyst, Senior Professional Research Assistant Level 3 - 38797 Research Faculty Description University of Colorado Anschutz Department: University of Colorado Cancer Center, Colorado School
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designation. For more information visit, ucdenver.edu and cuanschutz.edu. Job Description * Applications are accepted electronically ONLY at www.cu.edu/cu-careers * The Department of Biomedical engineering
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or Python to analyze data and experience with statistical, machine learning, and data science approaches. Prior experience working in teams on collaborative projects. Knowledge, Skills and Abilities
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Job Summary: As a Post-Doctoral fellow in the Department of Anesthesiology you will be expected to perform research, analyze data and publish manuscripts in the field of neurotoxicity of general
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to analyze data and experience with statistical, machine learning, and data science approaches. Prior experience working in teams on collaborative projects. Knowledge, Skills and Abilities: Expertise in one
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-resistant lung cancer. The postdoctoral fellow will play a central role in experimental design, execution, data analysis, and interpretation, and will present findings regularly in one-on-one meetings
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environments. We seek candidates whose research interests and working style align with a collaborative and principled research environment. Additional information about the lab’s philosophy and values is
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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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Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state
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validation of protocols to measure human innate-like lymphocyte functions. The postdoctoral scientist will both analyze existing data to define and understand the immunology of autoimmune disorders including