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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Laboratory of Atmospheric Chemistry, we
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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral
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reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal gradients could induce localized therapeutic effects
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Experience in low-latency RPC, network stacks, distributed systems and host data
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. The temperature field generated by the interaction between the arc and the material plays a critical role in determining the microstructure, residual stress, and distortion of the built parts—all of which
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approach for fabricating large-scale structural components. This process involves feeding a metal filler wire—either coaxially or off-axis—into an electric arc to generate a molten pool that solidifies on a