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architecture combining AI accelerators and Genera-Purposes CPUs. Investigate optimization algorithms for customizing the hardware architecture for AI applications Implementation and evaluation as part of a use
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. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
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reefs. The campus is striking architecturally, and the facilities are outstanding (OIST campus video tour ). There are no academic departments, which facilitates multidisciplinary research. Outstanding
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or October 2026. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Berlin Mathematical School (BMS) is the
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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architectural history, upper-level undergraduate courses in their field, and graduate seminars. Advising of majors, minors, and MA and PhD students is expected, as is service to the department, college
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candidates working on the intersection of computer systems and other areas, such as systems for novel computer architectures and artificial intelligence. Qualified candidates are encouraged to submit
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research groups Willingness to work in a team and to mentor PhD students Strong written and verbal communication skills in English The following experience will strengthen your application: Exerperience in
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writing Data management Project management Strategic, operational, and regulatory expertise Regulatory submissions Quality assurance Qualifications Required Qualifications: A completed PhD in neuroscience
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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class