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have a Master’s degree in data science, bioengineering, statistics, computational biology, mathematical biology, information science, neuroscience, or a related discipline with experience and/or a strong
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for journals. A longer term goal will include becoming an independently funded researcher. The successful applicant will be a health economist who can sustain an extramurally funded research program, collaborate
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per year and serves as a local, regional, and national consultation reference laboratory, including telepathology. It also offers a one-year ACGME-accredited Thoracic Fellowship program. JOB DUTIES: In
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passions, develop essential life and leadership skills, and build meaningful connections within the Pitt community. The department oversees numerous programs and services, including student government, club
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funding applications, and have opportunities to guide early-career researchers in computational methods and Neuroscience. Key Responsibilities: Develop, modify, and test software for simulation of axonal
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, retinal electrophysiology, and small and large animal models of disease. Qualification of candidate: MSc in computational biology, biology, math, physics, computer science or related field. Four years
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or collaborative research projects Job Summary Oversees large, complex data sets and utilizes advanced programming methods and statistical software for raw data extraction and aggregation, statistical analysis, and
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addition to classroom teaching, instructors are expected to help plan cultural programming for their language program and attend events for the whole institute, such as film and lecture series, workshops, and picnics
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; prepares routine reports, program resources, presentations, and publicity materials. •Assists in the development of program evaluation tools and methods; recommends modifications to improve program
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environment. Teaching and Advising: The candidate will teach both lower- and upper-level mathematics courses. Of particular interest is an individual capable and willing to teach numerically oriented courses