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Internal Number: 1148580 Position Summary Duties/Responsibilities: Prepares, Reviews and analyzes data to identify and resolve inconsistencies and ensure admissions, enrollment, and student success data is
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
, implementation science, geospatial analysis, biostatistics and research design, analysis of interventions (e.g., difference-in-differences), AI analytics, agent-based modeling, Bayesian modeling, causal inference
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to reduce fragmentation by defining ownership between strategy, partnerships, and operations. Data?Driven Decision Support Collaborate market analytics and other teams to develop and translate market
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expression is upregulated in HPV+ head and neck cancer and what factors are regulated by K17 to regulate immune microenvironment in head and neck cancer models. The applicant must have a PhD in the area of
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. Led by Founding Department Chair Jennifer Johnson, PhD, we seek to attract and generously support new research colleagues who are committed to conducting the high caliber, high impact, and community
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, financial and analytical skills; excellent verbal and written communication and int erpersonal skills; knowledge of Michigan State University’s business policies and procedures; experience with Michigan State
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pathology, Crop and Soil Science, or Related Field Minimum Requirements PhD in Plant pathology, Crop and Soil Science, or Related Field Required Application Materials Resume/CV Name and Contact Information
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the candidate's highest degree and qualifications. Applicants with a master's degree are eligible for appointment at the instructor rank, while applicants with a PhD are eligible for appointment at the Assistant
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of this position will be to teach upper-division lab courses, including electronics and optics. A PhD in physics or related field at the time of the start of the position is required, and previous experience
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of professional misconduct history does not automatically exclude a candidate from employment. The University will assess the information, including any information provided by the candidate, in determining whether