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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 6 days ago
sparse and low-latency communication, ideal to realize efficient AI models by leveraging sparse and event-based computing.
The candidate will develop and adopt LLMs for the SpiNNaker2 hardware. The
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Computing. Example topics for the group include how people understand and respond to technological harm, and how organizations can build responsible AI into the innovation process. We use a mixed
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Python Fluent written and spoken English (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level Team-oriented
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expect to obtain, a first-class or upper second-class honours degree in technical art, creative computing, computer science or AI, games technology, animation/VFX or a related discipline. We are
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| Singapore Employer Nanyang Technological University, Singapore Location Singapore (SG) Salary Competitive Closing date 26 Oct 2026 View more categories View less categories Discipline Chemistry , Computing
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responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI
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| Singapore Employer Nanyang Technological University, Singapore Location Singapore (SG) Salary Competitive Closing date 26 Oct 2026 View more categories View less categories Discipline Chemistry , Computing
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 4 hours ago
monthly salary of EUR 2.832,10 paid 14 times a year Closing date 1 Nov 2026 View more categories View less categories Discipline Biomedicine , Chemistry , Computing , Engineering , Life Science
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effects. You’ll model electrical and optical inputs and responses for energy-efficient computing as a proof of concept. What sets this opportunity apart: World-class facilities: Conduct your research at
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can be found on the PI’s website: https://aobol.github.io/AoboLi/ The position builds on the group’s recent development of SIDERIUS, an agentic framework for long-horizon machine-learning development