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-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across
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-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression, therapeutic response, and immune evasion across
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focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the
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in methods and novel findings that inform disease etiology. The candidate should be interested in focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out
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, including foundational instruction in programming, data analytics, and data visualization for undergraduates across disciplines. Qualifications A Ph.D. or equivalent degree in fields related to
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achievement. Assessment & Evaluation Design and implement student learning assessments that measure achievement of course and program outcomes. Use AI-assisted analytics and traditional evaluation methods
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resilience and achievement. Assessment & Evaluation Design and implement student learning assessments that measure achievement of course and program outcomes. Use AI-assisted analytics and traditional
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. Collaborate closely with key departments in University Advancement including by not limited to Advancement Communications, Analytics, Data and Reporting, Advancement Systems, and Donor Relations, on
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business career paths in areas such as analytics, finance, marketing, management, supply chain, HR, accounting, consulting, entrepreneurship, or technology * Strong presentation, written and verbal
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University Advancement Posting Number P260161 Posting Link https://www.ubjobs.buffalo.edu/postings/63516 Employer State Bargaining Unit 08 Position Type UUP Professional Professional Appointment Term Term