44 machine-learning positions at Columbia University in United States

Clinical Research Coordinator

of researchers to acquire high-quality transthoracic cardiac and vascular images in human subjects and large animal studies. Responsibilities also include participation in clinical study monitoring, data

Staff Associate I

, Network Models, Functional Modeling, Neural Networks and other machine learning. 20% - Manage databases derived from large cohort studies and trials, including data cleaning, documentation, and facilitation

AI Analyst

relationships with academic and administrative departments to understand their needs and how AI can meet them. Research and Innovation: Stays informed about the latest developments in AI, machine learning, and

Postdoctoral Research Scientist

computing (HPC) platform-based modeling system which leverages remote sensing imagery, field measurements, and survey datasets with both machine learning and process-based models. The candidate will

Assistant Manager, Human Resources

professionalism, diplomacy, discretion, firmness, and collaboration in dealing with individuals at all levels. Strong analytical and problem-solving skills necessary. Excellent computer skills, including thorough

Staff Associate I

or Python, including machine learning, genome-wide association studies, pathway analysis, and multi-omics integration. 40% - Manage databases of omics and phenotypic data for multiple cohort studies and

Research Staff Assistant

of experience in a research environment. Additional Position - Specific Minimum Qualifications Strong Organization Skills. Strong Communication Skills. Computer Skills. Self-Motivated. Time Management Skills

Clerk B

manual dexterity for handling charts and using office equipment - specifically the use of a computer keyboard and calculator.  Must be able to stoop and bend to retrieve files and supplies, and sit, stand

Postdoctoral Research Scientist

Professor of Neurological Sciences in Neurology). The position will provide a wide range of exciting opportunities to develop methodological research at the interface of statistics, machine learning, and

Assistant Director of Internal Events

external vendors.  Must be computer literate and have the ability to communicate effectively, both verbally and written across all levels of the Law School and University. Must have the ability to identify