20 parallel-and-distributed-computing-"Meta"-"Meta" research jobs at University of California Los Angeles
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Number: 6325358 2027-29 Transfusion Medicine/Clinical Informatics Fellowship University of California Los Angeles Requisition Number: JPF10179 Due to the recent rapid expansion of electronic health records
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therapies for the treatment of corneal diseases. One research program investigates the microenvironment/niche of human limbal stem cells to elucidate those factors that govern the fate of limbal stem cells
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methodologies, epidemiologists identify, track, and analyze how diseases and other conditions are caused, transmitted, and prevented, as well as how they are distributed throughout the population
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fellowship program in cytopathology. The core responsibilities include performing superficial fine needle aspirations and on-site assessment of guided deep aspirates on both pediatric and adult patients
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research. International medical school graduates will only be considered if they have completed residency training in a US or Canadian ACGME accredited residency program. A California medical license is
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accredited AP/CP or AP only or CP only residency program. Applicant must be Board eligible or Board certified. International medical school graduates will only be considered if they have completed residency
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Number: 6365608 2027-28 Hematopathology Fellowship University of California Los Angeles Requisition Number: JPF10475 The Department of Pathology offers a one-year fellowship program in hematopathology
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one-year training program in Transfusion Medicine during which Transfusion Medicine trainees develop expertise in Transfusion Medicine practice, transfusion service management, donor center operations
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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover