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Field
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position to work on development and scaling of the data infrastructure and software for AI applications on supercomputing systems and AI testbed systems. The postdoc will work on multimodal data management
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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collaborative environment. Microsoft office software skills. Preferred qualifications: Master’s preparation in Statistics with statistical consulting or another related field with strong analytical skills
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, ensuring data integrity, consistency, and security. Collaborates with data scientists to identify trends, patterns, and opportunities for improvement. 4-Coding & Software Development: Codes, tests, and
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software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider (HL-LHC) upgrade (Silicon Strip detector, Liquid Argon calorimeter, and Trigger & Data Acquisition). The group
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of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
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to software tools to deploy developed approaches (10%) • Contribute to other publications, grant proposals, and internal R&D efforts (10%) • Contribute to professional service activities (10%) Minimum
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on the VLA through software building · Assisting the Project Scientist with hardware upgrades and repairs at the VLA site · Collaboration with a diverse team of researchers at the University of New
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation