312 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Columbia University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Fellowship Program and a FACT-accredited stem cell transplant program. We are seeking a Nurse Practitioner to work in the Research Capacity to join our team in a full-time position within Oncology for Clinical
-
will be expected to build an independent research program related to the immune system and aging, particularly in the area of cellular senescence in aging. The candidate must have demonstrated research
-
desirable. Knowledge of EPIC billing and scheduling systems preferred. Knowledge of Medical terminology. Other Requirements Participation in Medical Surveillance Program: Contact with patients and/or human
-
one of the world?s most dynamic cities. The Zuckerman Institute seeks one or two Assistant Program Facilitator(s) for our Teacher Institute for Neuroscience and Society program. The Teacher Institute
-
, Financial Reporting, and Oversight: Oversees the Law School program and unit operating budgets, serving as the primary liaison for departmental budget submissions, quarterly reviews, and financial reporting
-
of Environmental Health Sciences and Epidemiology at Columbia’s Mailman School of Public Health are looking to appoint multiple postdoctoral fellows to the NIH-funded program for Advanced Training in Environmental
-
, enter patient data and assist with statistical analysis, tabulation, and digital graphing of clinical results. Minimum Qualifications Two years of college or a completed AA program in Biology, Chemistry
-
to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/22176048/divisional-administrator-ii Return to Search Results
-
training assigned to this level including CITI, GCP, HIPAA. Understands the disease process per program. Participates in trainings specifically for maintaining certification as a Clinical Research
-
, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture