532 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" PhD positions
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Your Job: You will be part of a research team that applies high-throughput experimentation to accelerate research in the emerging field of electrocatalysis. Catalyst inks are at the forefront
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence RAI, subject at the department of Computer Science and Electrical and Space Engineering at Luleå University
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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found here: https://ut.ee/en/home Subject area and duties: The candidate for the PhD position is expected to conduct research on the synthesis of novel monomers and polymers for high-performance
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(UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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). Expected results: • New HWCVD technology validation and optimization. • Obtain high optical performance a-SiC thin films (test material in small dimension, <2-inch) to be used in other WPs. • Comprehensive
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@cuhk.edu.cn Group information: https://sites.google.com/view/qlmgroup/home Information about the group leader: https://sse.cuhk.edu.cn/en/faculty/sanjibghosh The Chinese University of Hong Kong, Shenzhen is
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Degree Dr phil Course location Münster Teaching language German English Languages Courses are held in English and German. Students may write their doctoral dissertation in either language. Programme
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tunability and high-order dynamics to realize dendrite-inspired functional circuits. These circuits will subsequently be integrated as core computational modules within unconventional computing architectures