1,779 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Nature Careers
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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study development, execution, and dissemination. This role offers hands-on exposure to study design, regulatory processes, patient-facing research activities, data analysis, and scientific publication
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and treatment of a range of human conditions, from rare inborn errors of metabolism to neurodegeneration to cancer and aging. More information about the lab can be found on their website . We
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, and computational data extraction Quantitative and spatial analysis of historical sources Travel accounts as historical source for environmental questions Your profile Master's degree in History
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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. The Fellow will work in close partnership with the lab's experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of
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, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate patient similars or digital twins. The studies will
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Postdoctoral Position (f_m_x) in Environmental Seismology in an interdisciplinary ecohydrological...
-term resilience of culturally and socially important green spaces under climate change. Your responsibilities: Instrumentation of field sites Processing of seismological data, including the analysis
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the level of individual cells. Yet much of the biological information embedded in these data remains unexplored. The next step is to convert these time-lapse images into accurate single-cell trajectories and