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://geology.pitt.edu /) at the University of Pittsburgh invites applications for a tenure-stream Assistant Professor applying geochemical tools to questions at the interface of climate change and Earth surface processes
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provides a generous graduate tuition benefit program to those interested in investing in their education and professional development. This position requires a well-organized individual who can multi-task
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funded research program that aims at restoring vision after traumatic or degenerative blinding conditions damaging the optic nerve. BS in biology or related fields, with 2 years of relevant experience
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settings and building trust with research participants. Job Summary Executes protocol-related research procedures, activities, outreach, and education. Manages a complex program or study or multiple programs
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are emphasized within the division. Specialization within neuroradiology is encouraged. Research opportunities and support are abundant, but clinical applicants are also encouraged. The MR Research Center and the
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, coordinates all aspects of research data collection and project oversight, and manages design and implementation of project analysis plan. Prepares documents for peer-reviewed publications, presentations, and
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Sciences at the University of Pittsburgh. CONTENT AREA: Applicants with an interest in clinical simulation and clinical education are preferred. Applicants with expertise in related areas are also encouraged
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these systems. - Some past experience using the “FRED” (Framework for Reconstructing Epidemiological Dynamics) software platform developed at Pitt Public Health. Examples will emphasize the applications
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Literatures of the University of Pittsburgh invites applications for the position of Visiting Lecturer for its Chinese literature and culture program, pending budgetary approval. The appointment is outside
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MD degree witha strong background in data science Strong programming skills in Python Proficiency in one or more data science platforms such as TensorFlow, PyTorch, MONAI, and scikit-learn Experience