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, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones
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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 development of new materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet
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materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet engineering. The research
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relevant merits. In the selection process, special weight will be given to the applicant's research skills, as demonstrated by the quality of the applicant’s PhD thesis, published scientific articles and
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for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical
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of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
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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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Biochemistry and Biophysics is offering a postdoctoral scholarship within medical biochemistry. The scholarship is full-time for one year with access 15 december 2025 or by agreement. The application deadline
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic