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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
selecting methods and techniques for obtaining solutions. Contacts are both internal and external to the department. The Financial and Administrative Analyst is responsible for complex financial analysis
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: Performs complex analysis/projects according to research protocols, explaining methods and procedures to other technicians. Enters data and maintains current data files on research projects. Monitors data
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linked to the development of the following activities in this project: conducting cutting-edge research on Sustainability and Circular Economy, exploring innovative data analysis tools and theories
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, develop and implement complex test cases, perform system testing and analyze results. Participate in critical analysis of existing systems and processes, and identify opportunities for process improvement
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operational stability to in-house custom applications built by various UITS teams over the past 15 years. Performs complex code analysis and reverse-engineering efforts for applications where subject matter
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IC or LC will be used for the selective detection of fluorinated species by ICP-MS. To this end, approaches involving the formation of BaF+ complexes will be implemented. Another technique, namely IC
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or complex. You want to convey your level of (un)certainty in your conclusions and reason transparently so that people can identify potential flaws or shortcomings in your analysis. You make recommendations
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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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Scheduled Hours 40 Position Summary Oversees and coordinates complex or multi-site clinical research studies; serves as a resource to provide comprehensive information to clinical research staff by
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Scheduled Hours 40 Position Summary Position assists investigators as a data coordinator of clinical research trials of all complexities, extracting data from the Electronic Medical Record (EMR) and