95 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Columbia University
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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/21928250
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New York State NP and RN license. Board certification DEA license BLS certification Preferred Qualifications Computer Skills: proficiency with MS Word programs and familiarity with Mac and PC platforms
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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/21928255
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undergraduate and graduate programs. Candidates with expertise in machine learning, big data, mathematical finance and probability theory are particularly encouraged to apply. The department expects to support
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imaging, and device installations under supervision. Help maintain computer labs, shared devices, and classroom or conference room technology. Participate in system maintenance activities, software rollouts
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laboratory equipment such as CNC machines, laser cutters, 3D printers, mechanical and electronic instrumentation, computers interfacing with instrumentation and equipment, etc. Daily tasks will include
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. Computer proficiency with the ability to quickly learn new applications. Other Requirements HIPAA Privacy and Security Essentials Training. Contact with patients and/or human research subjects. EPIC Access
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simulations with machine learning models derived from experimental data. 1) Functional Knowledge and Technical Expertise (50%) a. COMSOL Modeling: Design, build, and run COMSOL Multiphysics simulations to model
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understanding of ICH-GCP and CFR guidelines. Excellent interpersonal and organizational skills. Computer skills, proficiency with MS Office products (Word, Excel, PowerPoint). Preferred certification as a
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preferred. Problem-solving, focused, organizing and coordinate schedules. Equipment used frequently; telephone and computer. Equal Opportunity Employer / Disability / Veteran Columbia University is committed