166 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Universitätsklinikum-Hamburg-Eppendorf" positions at Montana State University
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, processes, and employee development program. • Assist with departmental outreach efforts to both internal and external stakeholders. Required Qualifications – Experience, Education, Knowledge & Skills
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Classification Title Program/Project Lead Working Title MilTech Portfolio Manager Brief Position Overview The MilTech Development and Integration (DIG) Portfolio Manager (PM) is responsible for high-level
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and economic development fiscal management team. The primary role of the position is to ensure the compliant and strategic use of F&A recovery funds by providing oversight, guidance, and key analytics
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into the program. Provide internship planning and professional development experiences related to Projects of Consequence – a signature part of the MSU Hilleman Scholars Program. Ensure scholars engage in FLOW Zones
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and/or design Foundations courses at the university level beyond graduate study. Foundations curriculum development or coordination experience Experience mentoring first-year students Experience
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Classification Title Instructor Working Title HDCH Non-Tenure Track Faculty (Applicant Pool) Brief Position Overview The Department of Human Development and Community Health seeks course instructors in
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on incorporating real-world applications of theory into the curriculum, drawing on professional experience to mentor students in their professional development. Ideal candidates will possess expertise in areas
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Development Appointment Type Non-Tenure Track (Pooled) Contract Term Other Semester Fall or Spring If other, specify From date If other, specify End date Union Affiliation Contact HR for Determination FTE
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economic development fiscal management team. The primary role of the position is to ensure the compliant and strategic use of F&A recovery funds by providing oversight, guidance, and key analytics to support
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the mismodeling of gravitational waves, of astrophysical environments, or of noise artifacts in gravitational-wave inference, The development of Bayesian data analysis techniques to carry out parameter estimation