63 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at Columbia University in United States
Sort by
Refine Your Search
-
, the Linux operating system and computer software. Intermediate to advanced level MS Office skills Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified
-
applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python. All applications must be submitted through Columbia University?s Academic Search and
-
and proficiency with computer-based programs such as electronic medical records systems, MS Word, MS PowerPoint, and MS Excel. Preferred Qualifications At least three years of experience managing adult
-
and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/22102505
-
, ACLS, DEA, and NPI certifications. Familiarity and proficiency with computer-based programs such as electronic medical records systems, MS Word, MS PowerPoint, and MS Excel. Preferred Qualifications
-
. Experience in higher education preferred. Strong financial analysis and modeling skills, including variance analysis, and financial statement analysis required. Strong computer proficiency (Word and Excel
-
learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https://main.hercjobs.org/jobs/22094278/oncology
-
student research worker to support AI and machine learning research in cardiovascular health informatics. The position involves working with both structured and unstructured electronic health records (EHR
-
the world, from the very center of business. Our ever-evolving curriculum, featuring pioneering courses, STEM certification, and immersive experiential learning, prepares students to excel in key areas
-
effective delivery of cellular immunotherapy, with a focus on CAR T cell therapy. Partners with physicians, clinical trial investigators, research teams, pharmacy, cell lab, apheresis, and hospital