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Field
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researchers Education: Ph.D. in a related field (e.g., epidemiology, biostatistics, health economics and policy, pharmacogenomics, biomedical informatics, biomedical engineering, computer science, or a related
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, the candidate will engage with U.S. ATLAS program office and management team to insure the continuation of the University of Pittsburgh's participation in software development and support on behalf of the ATLAS
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September 2025. The Research Assistant Professor will be expected to conduct, and obtain full funding for a program of research focused on executive functioning and developmental neuroscience in clinical
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(james-byrne@uiowa.edu ). Salary is based on years of experience after obtaining the Ph.D. degree and is determined by the Graduate College (https://grad.uiowa.edu/postdocs/salary ). Applicants must be
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Research Assistant Professor Civil & Environmental Engineering - Pennsylvania-Pittsburgh - (26001343) Responsibilities include writing proposals and conducting both experimental and computational
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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maintain existing analysis/sorting equipment and computer systems. Participate in the selection of new facility equipment and software with advancing technology so that the facility maintains its status as a
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for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources for data