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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, web intelligence, and Crystal Reports. Ability to perform complex data analysis with large volumes of data. Expertise on EHR application(s) and a good working knowledge of how the application(s) collect
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assembly, and testing. Conducting experiments and performs data analysis to evaluate process parameters and optimize efficiency, yield, and product quality. Identifying opportunities for process improvements
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking to hire a Research Engineer to conduct interdisciplinary research on risk modeling, analysis
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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services in the Library, including covering for student staff when necessary; leading and managing special projects or assignments that are time sensitive or complex in nature, requiring a high level of
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skills in statistical analysis, as well as expertise in research methodology including epidemiological and health services research methodology. The position has extensive scope for independent judgment in
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from single-cell sequencing data across neurodegenerative dementias and developing novel methods for computational analysis of emerging technologies, such as multiomic sequencing and spatial
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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* Gather requirements for the design and development of data structures and data extracts to support comprehensive data collection, loading, and extraction for complex analyses. Model information in a way