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PhD Scholarship - Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure Job No.: 696617 Location: Clayton campus Employment Type: Full-time
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Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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audio algorithm code base including noise reduction, acoustic echo cancellation, automatic gain control, voice activity detection, packet loss compensation and other audio enhancements Supporting Research
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
in Nantes). PhD Context: Similar to their rigid counterpart, Continuum Parallel Robots (CPR) can reach singular configurations in their workspace. They can encounter type 1 singularities, which
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, Physics, Computer Science, Engineering, or related field. 2–5 years of relevant experience after PhD (industry or applied postdoctoral research). Expertise in quantum algorithms and NISQ computing
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
to their field of expertise, contribute to the supervision of Honours and PhD students, work collegially with members of the ANU community, undertake suitable service tasks, and engage in impact and engagement
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data