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Characterization of LAM Model Deployment on Edge-Cloud Optimization of LAM Model Deployment on Edge-Cloud Simulation of LAM Model Deployment on Edge-Cloud Where to apply Website https://www.uniovi.es/conocenos/rrhh
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conditions that mimic actual operating environments. Working closely with partners in the IMPRESS project, you will analyze their materials and provide valuable insights to help optimize device performance
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the developed model tools. Functions to be developed: Implement and validate a reduced model of a floating wind farm with shared mooring systems. Create models and validate the presented optimization system
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boundaries of AI-enabled robotics. Tasks to be performed: Develop, train, optimize, and benchmark scientific state-of-the-art deep learning methods for computer vision, 3D reconstruction, robotic perception
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of mathematical modelling, statistical prediction, and optimization in problems of science and industry, in the Research and Transfer Area “Industrial Competitiveness” within the research program “Efficient
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within a Research Infrastructure? No Offer Description Mission: Develop and optimize biological fermentation processes for the recovery of organic waste into bioplastics. Functions to be developed
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for syngas biomethanation will be designed, constructed and optimized. Secondly, a pilot algal-bacterial photobioreactor for biogas upgrading will be designed, constructed and optimized. Task to be
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deep learning models to predict and analyze large-scale orbital capability. - Evaluate and optimize the performance of the models, comparing them with traditional orbital analysis methods. Where to apply
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Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D line: Synthesis and characterization of hydrogels with optimal
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TO HIRE A PROFESSIONAL WITH THE FOLLOWING PROFILE: NURSING DEGREE Reference: 2025/204 Project: 00300000200100208 - ORACLE - Optimize risk prediction after myocardial infarction through artificial