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Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field Minimum 3 years of professional experience in enterprise data management, data integration
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maintenance and genetic crosses, behavioral assays, molecular biology techniques, and data collection and analysisâ”to advance the laboratoryâ™s research program. In addition to bench work, the Research
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Temporary Online Course Developer – RITM 190 ITM Capstone: Integrated Enterprise Technology Strategy
, and Brandeis Online. Qualifications: Master’s degree in Information Systems, Information Technology Management, Computer Science, Technology Management, Business Administration (technology focus), or a
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experience designing asynchronous higher education online courses for adult audiences. Demonstrated expertise in algorithmic bias, Responsible AI (RAI), and technology policy (Preferred). Technical
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Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 130 Business Intelligence and Visual Analytics for the Fall-2 2026
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research, training, and creative activities by providing institutional review of grants, contracts, and other sponsored program applications and proposals for extramural funding.Rooted in a deep and
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Brandeis University’s Online Industrial Organizational Psychology Program is seeking an Adjunct Faculty member for RIOP 150 AI and Automation in Talent Strategy for the Fall 2 2026 session. This 3
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enjoys building strong relationships, collaborating across a complex organization, and turning ambitious ideas into practical, sustainable programs. What You’ll Do Program Development and External
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responsible for supporting the administration, management, and oversight of a large and diverse portfolio of federal and non-federal grants, contracts, sub-award, fellowships, and other sponsored program funds
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Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 135 Time Series Forecasting and Operational Analytics for the Fall-2