395 computer-programmer-"https:"-"FEMTO-ST"-"UCL"-"FEUP" "https:" "https:" "https:" "https:" "Inserm" positions at Columbia University
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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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, organizational, communication, and computer skills. Participation in the medical surveillance program: Work with laboratory animals Successful completion of applicable compliance and systems training requirements
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data efficiency. Decision Making/Autonomy (10%) – Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and
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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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walking. Position requires occasional lifting and pushing. Participation in the medical surveillance program. Contact with patients and/or human research subjects. Wear N-95 respirator Successful completion
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of the school/department in these areas by developing or sustaining an externally funded research program, contributing to the undergraduate and graduate educational mission of the department(s), and establishing
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Requirements Participation in the medical surveillance program Contact with patients and/or human research subjects Potential bloodborne pathogen exposure Successful completion of applicable compliance and
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. Minimum Qualifications Bachelor's degree in chemistry, biology or physics or a completed animal husbandry program or equivalent in education, training and experience. Preferred Qualifications One year of
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21940652/research-pharmacist Return to Search Results
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page at: http://www.stat.columbia.edu Qualifications PhD in statistics or a related field by the date of appointment is required, as is a commitment to high quality research and teaching in statistics