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- UNIVERSIDAD POLITECNICA DE MADRID
- Fundació per a la Universitat Oberta de Catalunya
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computationally efficient algorithms. They will work with machine learning, deep learning, and NLP tools. Funding This contract is part of the GAP project (PID2022-139308OA-I00), funded by MCIN/AEI/10.13039
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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, or equivalent. Excellent computational skills and language programming. Deep knowledge of numerical methods and machine learning algorithms. Specific Requirements We are looking hardworking and skilled pre
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máquina/profundo y segmentación aplicado al procesamiento de imágenes y vídeo / - Development of embedded systems for machine/deep learning and segmentation applied to image and video processing
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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, required to adequately incorporate molecular data, and model regulations of inflammatory and degenerative processes. Available datasets at the molecular level will be incorporated through machine learning
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Skills/Qualifications Additional undergraduate degrees related to mathematics, physics, computer science, telecommunications, or engineering. Knowledge of machine learning, mathematics, and probability and
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systems for artificial intelligence and machine learning. - Programming very low power consumption embedded systems. - Cloud and edge computing. - Development of embedded systems for the Internet of Things
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5 Sep 2025 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
of machine learning and AI algorithms and methods. Knowledge of species distribution models. Catalan and Spanish are valued LanguagesENGLISHLevelGood Research FieldOtherYears of Research Experience1 - 4