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University of Pittsburgh Animal Exposure Surveillance Program (AESP) and other medical surveillance/immunization programs as dictated by current research activities Physical Effort The employee must be able
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., PRISM, CAMS) • effective written and verbal communication in English, including the use of email • successfully enroll in University of Pittsburgh Animal Exposure Surveillance Program (AESP) and other
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the development of conceptual project design and instrumentation, software programs, and data collection methods. Assists with conducting research. Conducts laboratory procedures, develops software for analysis
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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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. Course content, assessment, and instructional mode will be consistent with the curriculum and accreditation requirements and will be guided by the Program Director to ensure the appropriateness
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implementing technical and scientific research programs; Contributing to proposal writing and acquisition of preliminary data. Required Educational Background: Applicant must have a Ph.D. in materials science
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are strongly encouraged to apply. Our department has internationally recognized programs in Energy and Sustainability, Catalysis and Reaction Engineering, Materials, Multi-Scale Modeling, and Biomedical
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addition to providing support for classroom and shared spaces technology. The professional will assist with computer hardware and software issues for a multiplatform network consisting of Linux Servers, Windows servers
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of Pittsburgh’s School of Computing and Information Systems or an equivalent computational, informatics, or engineering program at the University of Pittsburgh. The incumbent must quickly learn new concepts
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Kinesiology in our Master of Science in Prosthetics and Orthotics program. This role is vital in shaping the knowledge and skills of aspiring prosthetists and orthotists, equipping students with a deep