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Field
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learning Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation
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to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment to security, integrity, and ethics, including the ability to properly handle personal, confidential, and
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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training materials; Demonstrated organizational skills working in a multi-tasking environment and the capacity to track and manage multiple technical artifacts and tasks in parallel; Demonstrated commitment
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international and multicultural students. The Department of Electrical and Computer Engineering & Computer Science houses multiple degrees in Computer Science, Electrical and Computer Engineering, Data Science
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scientific computing, parallel storage and file system. Excellent communication and project management skills, and ability to navigate a complex academic environment and work collaboratively with individuals
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behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in human or monkey electrophysiology. Studies will include
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) and specifically to the Family Health Center (FHC). The Data Analyst implements the FHC quality improvement (QI) program in consultation with the FHC medical director team and related departmental
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innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them