7 data-science-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of California, Los Angeles
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
materials. Lab: Tanigawa Lab Contact: [email protected] Lab : https://tanigawalab.org/ Qualifications Basic qualifications Ph.D. or equivalent in Biomedical Data Science or a closely related
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
, Psychology, Microbiome/Molecular Biology, Engineering, Epidemiology, Mathematics, Statistics, Computer Science or a related field. Strong proficiency and independence with large data analysis platforms (such
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Scholar to join a basic science laboratory studying vascular pathology, atherosclerosis, and arterial repair mechanism. This position is under the supervision of Marianna Pavlyha, M.D., Assistant
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
join a basic science laboratory studying the role of bacteria and biofilms in the formation and pathogenesis of kidney stones and translational surgical device design. This position is under the
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
, Computational Biology, Genomics, Biostatistics, Data Science, Computer Science, Biomedical Engineering, or a closely related quantitative field is required. Research activities may include analysis of
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
• Develop and validate disease progression models and other data-driven analyses in large-scale multimodal datasets (imaging, phenotypical data, genetics data) • Author scientific publications and
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Computer Engineering, Data Science, Robotics, Computational Health, or a closely related field and a strong record in AI, machine learning, digital health, or biomedical data science. You will lead