48 parallel-and-distributed-computing-"LIST"-"Humboldt-Stiftung-Foundation" positions at Nature Careers in Spain
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The joint Center for Life Sciences (CLS) at Peking universities invites application for its International Fellow program. As the most vibrant, interdisciplinary and prestigious life science center
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Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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joined the list of China’s World-Class Universities Project as the youngest university in that list. With the backing and support of our two co-founding institutions, ShanghaiTech is committed to tackling
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encouraged among scientists from the two universities. At each university, the center will anchor faculty members distributed in multiple schools and departments, ranging from biology, chemistry, physics
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, ShanghaiTech joined the list of China’s World-Class Universities Project as the youngest university in that list. With the backing and support of our two co-founding institutions, ShanghaiTech is committed
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to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments.
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materials technologies. We focus on the unique physical properties and disruptive application potential of two-dimensional materials, leverage intelligent materials design and multi-scale computational
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(bozovic.hts@gmail.com ) the following: (i) a CV detailing hands-on experience with specific experimental techniques; (ii) the list of publications, and (iii) the contact information for 3 references, In
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions