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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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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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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 21 hours ago
International PhD peers, staff and supervisors Participation in international conferences Diverse intercultural background of students To find out more about DLGS fellows, see https://dlgs-dresden.de/fellows
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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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institutional investment in autonomy, robotics and artificial intelligence, the department recently launched a PhD program in Robotics . It also collaborates across the College and University for other graduate
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software development, including architecture of multi-user projects. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $80,000 to $88,000
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Researcher (R2) Positions PhD Positions Application Deadline 8 Mar 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 5 Is the job funded through the EU
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, Virology Posting Number req25479 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Dr, Tucson, AZ 85705 USA Position
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the fields of integrated ship systems and autonomous and unmanned marine technology. Main responsibilities: Development and sustainability of the research group: - Design and architecture of integrated ship
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literature surveillance for emerging AI/ML methods relevant to biology Train researchers in AI/ML fundamentals and best practices Innovative use of novel architectures, approaches and combination of tools Key