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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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their creation. Functions to be developed: Build a Reinforcement Learning system that supervises and adjusts text generation through inputs and outputs. Develop automatic model selection algorithms
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processes with a focus on atmospheric applications. Contribute to the development and implementation of mathematical models and numerical algorithms. Analyze data from numerical simulations, climate models
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: Artificial Intelligence Models. Deep Learning. Development and implementation of the Model Predictive Path Integral algorithm: MPPI. Professional Experience: Development of perception and localization systems
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position within a Research Infrastructure? No Offer Description Mission: Implement a data transmission system for a Data Space. Functions to be developed: Implement data flow management algorithms. Develop
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of the hiring -To develop research in AI and hybrid data science, and to reduce the gender gap in STEAM. Functions -Manage European projects. -Conduct research in the field of gender gap reduction in STEAM
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career. KEY RESPONSIBILITIES Development of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics. Carry out high
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply JOB LOCATION AND SCHEDULE: CITIC
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply. JOB LOCATION AND SCHEDULE
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within a Research Infrastructure? No Offer Description Mission: Perform technical support tasks to implement control in a mineral processing plant. Functions to be developed: Design and assemble printed
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Objective - To design and develop reconfigurable Battery Management Systems (BMS) for electric vehicles, with a focus on innovation, efficiency, and adaptability to evolving technological requirements