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with electronic medical records systems (e.g., Epic or other) ⢠Experience with clinical trials, including data collection and analysis ⢠Experience performing clinical or research interviews with
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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) including physics of EIC, the ePIC detector for the EIC using various Monte-Carlo generators and advanced detector simulation software. The Fellow could also work on future science, technology and detector
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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Qualifications: • Experience with electronic medical records systems (e.g., Epic or other) • Experience with clinical trials, including data collection and analysis • Experience performing clinical or research
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computational biology/bioinformatics are preferred. The successful candidate will be expected to work independently on projects, generate and analyze data, help graduate students, and write manuscripts
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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of locus-specific and next-generation techniques such as RNA-seq, RRBS, and WGBS, as well as EPIC arrays in human and mouse sperm and mouse embryos. Opportunities for postdoc-driven independent