350 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" positions at Columbia University
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consistent and interactive process for all intake procedures and workflow. Deliver streamlined, efficient, comprehensive, culturally inclusive crisis intervention 24/7 year-round crisis response, information
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maintain superior attention to detail. Demonstrated discretion, diplomacy, and confidentiality when handling sensitive University data. Strong computer skills, including proficiency with Microsoft Office and
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improvements, and program evaluations. Partner with mission leaders, section chiefs, and administrative managers to interpret financial data and guide departmental planning. Monitor departmental financial
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multidisciplinary teams to help coordinate diagnostic testing and collection of laboratory data. Minimum Qualifications Bachelor's degree or equivalent in education and four years of related experience required
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to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) – Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU
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, 2025, and continue until the position is filled. For further information, please contact the department at facultyaffairs-history@columbia.edu Columbia University is an Equal Opportunity Employer
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for data analysis (R, Python, Matlab). Cell biology background. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected
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trends in the academic/admissions process. Familiar and appreciate student and academic affairs, departmental program curriculum and requirements, and web management and administration. Strong computer
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bodies. Utilizes experience, external research, and internal sources (including internal or external data queries, financial and operational reports, interviews, information searches, and other techniques
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, progression, and survivorship. The VHO will manage, integrate, and analyze complex datasets, including epidemiologic, biomarkers, and molecular data, to generate insights that inform cancer disparities research