99 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Columbia University in United States
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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/21983197
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The incumbent may be called upon to perform patrol duty on foot, in an automobile or on bicycle. As such, the applicant may be required to pass a physical fitness job standards test. The Sergeant, working on a
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, and experience, plus three years of related experience. New York State Radiological Technician License. Experience with bone density measurement technology. Proficiency in computer data management and
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required. Computer literacy required. Keen professional communication skills required. Excellent written, organizational, communication, and interpersonal skills required. Must have strong problem-solving
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procedures. Computer knowledge required. Knowledge of athletic equipment trends, proper fitting of athletic equipment and laundry equipment operations required. Strong coordination and organizational skills
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The Laboratory Coordinator I will serve as a key team member of the Fertility Center?s Andrology Laboratory. In this role, the Laboratory Coordinator I can expect to learn about the functioning of a clinical
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experience or equivalent in education Minimum of one year as a Clinical Research Coordinator I or equivalent Meets or exceeds expectations on annual review (if applicable) Computer Skills: proficiency with MS
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implantable neural interfaces, and machine-learning approaches for decoding brain activity. Outstanding candidates in all areas of biomedical engineering are encouraged to apply. Candidates must have a Ph.D. in
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school equivalency instruction to morning and evening students. Hours vary between 10 am-8:30 pm. Responsibilities Create a student-centered, engaging learning environment. Develop theme-based
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, statistical analysis, and mathematical modelling. Provides support for use of developed methods. Remains up to date on the scientific literature of statistical methods and machine learning as applied