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statistical analysis training to support data analysis in collaboration with a statistician. Experience with coding and using REDCap and other data entry platforms for clinical research. Other Requirements
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to monitor neuronal populations. Additional experience in computational analysis of data or molecular biology will be a plus. All applications must be made through Columbia University?s online recruiting
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the laboratory?s mouse colony to integrate in vivo models that assess immune function. These studies involve working with animals, preparation of immune cells from mouse tissue for flow cytometric analysis and
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need ICM training) and data acquisition and analysis. The Staff Associate will perform laboratory experiments to characterize the effects of local delivery of chemotherapy to treat brain tumors
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analysis and calculations, and write reports on research findings. Prepare mouse brain slices and record electrophysiology on brain slices and tissue dissection to obtain tissue to store in -80c freezer
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Analyzer assays, CoQ measurement, oxidative stress analysis, and viability assays. They will collect pellets for "omics" analyses, that they will learn to interpret and analyze. Under the supervision of Dr
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. Position requires a Ph.D. in Nursing, Biomedical or Health Informatics, or other related fields. Additional requirements: Experience with modern statistical analysis, data mining and machine learning methods
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Innovations Research and Evaluation (HIRE) program. Responsibilities Support the day-to-day functions of the HIRE group Perform epidemiologic, biostatistical and clinical modelling Perform data analysis using R
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analysis Additional Duties Work with human study subjects and cell culture systems Perform other related duties as assigned to support laboratory operations and research goals Minimum Qualifications Requires
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DNA/RNA extraction, PCR, qPCR), by immunophenotypic analysis (including immunostaining and flow cytometry) and by functional assays (in vitro differentiation). Performs quality control of cell lines