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for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral scholarship (2 years
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language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and
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processing. Your Role You will work on developing large scale models for sign-language processing, based on unsupervised representation learning and large language models. The models will be fine-tuned and
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innovation, this could be the next step in your academic career! About the position Formaldehyse-based adhesives are the most common adhesives used today in the wood industry. However, the strive
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models, applying CRISPR/Cas9 based gene knockout or other base/prime editing methods for human cells, such as T and B cells, induced pluripotent stem cells (iPSCs) and hematopoietic stem cells, and
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sciences and novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students
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for this scholarship position, in addition to holding a PhD in the field of biomedicine, the candidate must have demonstrated research expertise and documented research experience in the field of human adaptive
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3 Oct 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded...
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train