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environment. A positive and courteous presence and strong communication skills are critical. Required Qualifications Prior experience with program coordination Prior experience with student visa coordination
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for this position include: - scheduling of schools and exhibitors - event/program coordination - implementation of events/programs - ensuring programs and participants are in compliance with university policies
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2025 Ability to teach Introduction to Appalachian Studies as suggested by a record of successful teaching in Appalachian Studies or related areas Active research program in the field of Appalachian
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/revenue management. -Demonstrated knowledge of computer programs including Windows, Microsoft Office Suite, or similar software. -Excellent interpersonal communication skills with the ability to establish
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audiences. This employee will serve as a vital member of the Donor Relations team in creating a best-in-class program. Required Qualifications Demonstrated experience working in professions such as public
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Laboratory Services b) Teaching in the DVM professional program c) Training pathology residents, which includes teaching in graduate-level pathology courses and participating in histopathology rounds d
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for implementation and execution of various pre-award and proposal development and submission activities in support of FBRI's sponsored program operations. The successful candidate will assist in preparation and
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member within the Clinical Science Program in the Department of Psychology. Dr. Margherio's research lab focuses on prevention and intervention for behavior problems and/or substance use in teenagers, with
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responsible for implementation and execution of various post-award and financial monitoring activities in support of FBRI’s sponsored program operations. The successful candidate will assist in award setup
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or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or computational data