272 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" uni jobs at Columbia University
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Officer will assist with data collection and analysis for research projects. Ideal candidates will have previous experience conducting health equity research and working in a team-oriented environment with
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join the Simoes’ lab at the Taub Institute for Research on Alzheimer's Disease and the Aging Brain (http://columbianeuroresearch.org/taub/) to study neurodegeneration and diseases of the central nervous
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range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The School of Nursing is seeking a data science-focused
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, spectroscopy, and laser–matter interactions. Knowledge of semiconductor physics, materials chemistry, or nanoscale systems. Proficiency in scientific programming (Python, Matlab), data fitting, and signal
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the Columbia Stem Cell Initiative (https://www.stemcell.columbia.edu ). This is an outstanding opportunity to work with investigators in leading radiation biology and stem cell laboratories. Minimum Degree
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allocates approximately 70% of time to hands-on experimental research, 20% to scientific reporting and data presentation, and 10% to teaching and other academic responsibilities. Minimum Qualifications: MD
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challenges, and plan next steps. Perform other job duties as assigned. REQUIRED QUALIFICATIONS: PhD in computational or systems biology, bioinformatics, biostatistics, data science, biomedical engineering
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the collection and analysis of maternal/fetal/infant physiological and behavioral data in support of research on the effects of prenatal exposures to a variety of risk factors such as premature birth, and
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needs assessment interviews with community members, data collection, and assist with data analysis. Attend staff and team meetings. Communicate clearly and routinely with Program Manager and team. Report
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of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and