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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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Development, implementation and experimentation of distribution estimation algorithms in dynamic optimization problems. Where to apply E-mail lauragveiga@fi.upm.es Requirements Research FieldComputer science
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, distributed from Monday to Friday with flexible hours according to project requirements from 08:00 to 15:30 (flexible according to project requirements). Offer Starting Date 7 Nov 2025 Is the job funded through
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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distribution in the contractual job vacancies of senior technologist for research projects is 54.67% for women and 45.33% for men, so there is no under-representation of either sex in this job category. Second
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, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and
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Infrastructure? No Offer Description Mission: Research and develop robotic perception algorithms that allow obtaining a 3D representation of complex environments; monitoring and presentation of results. Functions
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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