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Field
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Fellow (several posts) in the Department of Chemistry (Ref. 536698), to participate in a cutting-edge research programme on “Smart Power Systems for Autonomous Platforms,” focusing on next-generation
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at the intersection of human medical and population genetics. In particular, we have a strong interest in developing methods that uses genomic data to understand the evolution and architecture of complex traits and the
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Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific Advisor: Mónica
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to 3D transistor architectures and stacked, hybrid-bonded devices, it becomes important to study the initiation and propagation of defects due to thermal and electrical phenomena (e.g., dielectric
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networks, RNNs, LLMs) or in the deployment of such algorithms. Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators
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As part of the PICs@ICFO Strategic Initiative, ICFO coordinates PIXEurope, a flagship Pilot Line funded under the European Chips JU program focused on Advanced Photonic Integrated Circuits (PICs
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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to 3D transistor architectures and stacked, hybrid-bonded devices, non-destructive, high-resolution 3D imaging is becoming a necessity. Unfortunately, current 3D X-ray nanoimaging methods
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to 3D transistor architectures and stacked, hybrid-bonded devices, it becomes important to study the initiation and propagation of defects due to thermal and electrical phenomena (e.g., dielectric
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promotion subject to funding availability and satisfactory performance. This position is primarily computational/dry-lab. The successful candidate will work closely with our wet-lab team to address key