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together nine partners to create an independent organisation with a strong voice for research and innovation, more information can be found at www.ukri.org Band MRC - 4 Location London Salary £42,694 per
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
processes and technologies. This role will work closely with various departments across the University, as well as external vendors, to ensure the quality of identity data, the establishment of data standards
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Max Planck Institute for Dynamics and Self-Organization | Gottingen, Niedersachsen | Germany | 2 months ago
, complex systems, and data science community, including the RTG 2906 “Curiosity”, the Campus Institute for Data Science (CIDAS), the Section “Complexity, Information, Cognition, Society” (CICS), the Campus
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Act, you may redact information that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. For information on our hiring practices, please visit our
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processes and technologies. This role will work closely with various departments across the University, as well as external vendors, to ensure the quality of identity data, the establishment of data standards
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, including ECE, and complements the Frost Institute of Data Science and Computing, the Miller School of Medicine, and other academic units. Faculty in ECE have extraordinary opportunities for collaboration
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
Institute for Data Science (CIDAS), the Medical Data Science Section (MeDaS) and the Lower Saxony Centre for AI and Causal Methods in Medicine (CAIMed). Collaborations with major international companies
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, Research Computing Platforms (RCP) and Research Software Engineering (RSE) teams. Through collaboration between the Institute for Data Science, Department of Computer Science and ARC, several grants have
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. Ensure that large and complex data sources are accurate, connects data sources into the data warehouse and related institution-wide data structures. Provide data driven business sets to support alumni and
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apply comprehensive IT knowledge, concepts, practices, and procedures, including hardware, software, networks as well as troubleshooting and documentation for the completion of complex assignments and