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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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background in computer science or biomedical engineering, with a strong focus on programming using deep learning libraries and machine learning algorithms. Demonstrated experience in medical image processing
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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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Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient. JOB LOCATION AND SCHEDULE: CITIC. Monday to Friday, from 10:00 a.m. to 2:00
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. Obtain and process satellite image databases at a global level. Programming deep learning and signal processing algorithms and conducting tests. Write and present new project proposals. Organize meetings
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), machine learning algorithms (reinforcement learning), and/or explainability techniques. LanguagesENGLISHLevelGood LanguagesSPANISHLevelGood Additional Information Benefits 1.255 €/monthly gross salary
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of electronic systems. Simulation and design of power electronic converters. Programming of control algorithms for electronic converters. Hardware design of electronic control and power circuits