98 machine-learning-"https:" "https:" "https:" "https:" positions at Columbia University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the university to advance knowledge 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
-
certification. Must be eligible for AHA ACLS & BCLS. Familiarity and proficiency with computer-based programs such as electronic medical records systems, MS Word, MS PowerPoint, and MS Excel. Preferred
-
treatment. Complete documentation as required by the Institutional Review Board and maintain documentation up to date. Effectively troubleshoot basic robotic/computer/software issues. Participate in
-
of the university to advance knowledge 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
-
knowledge of the foundations of machine learning and probability theory. Excellent communication and writing skills. Strong project management skills and demonstrated mentoring skills with students and
-
. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning
-
-level computer proficiency (Microsoft Excel and Word) is required, including an in-depth knowledge of spreadsheet functions and pivot tables. Equal Opportunity Employer / Disability / Veteran Columbia
-
experience. Excellent interpersonal and organizational skills. Computer Skills: proficiency with MS Word programs and familiarity with Mac and PC platforms. Other Requirements CCRP/CCRC certification preferred
-
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/21893974
-
. Work in our group focuses on developing innovative image analysis, machine learning, artificial intelligence and data science methodologies for multimodality imaging, and also on incorporating