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(engineering.pitt.edu/bioengineering) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, biomedical engineering, or closely related disciplines for a non-tenure stream
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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effective undergraduate and graduate teaching. PhD in economics required. Please apply at http://www.aeaweb.org/joe/ AND at the University of Pittsburgh Talent Center To ensure full consideration
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Professor, non-tenure stream position. Main responsibilities include: Clinical trial methodologies Study design Data analysis Minimum experience: PhD in Biostatistics with 10+ years within a Scientific
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feedback on methodology, model structure, data inputs, and calibration results. The individual will contribute to the refinement of the front-end web displays of the model results. The successful candidate
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project, such as bioengineering or mechanical engineering. Required Skillset: Technical Skills and Qualifications : - The applicant should hold a PhD degree or higher in a field of engineering in a
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medical schools in the U.S. and is located in one of America’s most livable cities. Requirements for Assistant Professor include a PhD or equivalent degree in the field of Microbiology or Immunology, 3
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experience requires that teachers respond in writing to students’ work and may involve going into the Engineering classroom to teach writing. Assignments and rubrics are created by the team.) For information
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facilitating work and project development in collaboration with other industry and academic specialists. The minimum education to be considered for this position is a PhD in biomedical sciences with expertise in
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execution of technically complex experiments, data interpretation/presentation, and preparation of scientific publications. Must have extensive experience with a wide variety of experimental techniques