17 parallel-and-distributed-computing-"LIST" research jobs at University of Pennsylvania
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place to call home for work and play. Posted Job Title Temp Research Assistant (Gear Up Program) Job Profile Title Temporary Employee - Non-Exempt Job Description Summary Temporary Employee - Non-Exempt
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enrolling clinical trials; distribute a list of potentially eligible patients to the physician and Program Manager for evaluation; basic data entry into a Lymphoid Malignancies database. Provide support to
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, United States of America [map ] Subject Areas: Statistics, Machine Learning, and AI Appl Deadline: 2025/07/01 11:59PM (posted 2024/10/31, listed until 2025/07/01) Position Description: Position Description The University
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ongoing clinical oncology research studies. Duties include: collecting patient information, processing patient specimens, distributing materials to various campus locations, contacting patients
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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participate in the Penn Medicine Biobank/Undiagnosed disease program. The Division of Translational Medicine and Human Genetics comprises clinical and research faculty with diverse investigative interest and
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genetics, and may include expertise in one or more of the following: computational biology, statistical genetics, population genetics, biomedical informatics, complex genetics, clinical genetics
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or scholarship responsibilities may include carrying out research projects in collaboration with the TBI center faculty as well as establishing their own independent research program aiming
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, including a record of publication demonstrating the candidate's ability to contribute substantially to a research program. We seek candidates who embrace and reflect diversity in the broadest sense