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Field
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announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i Line: Machine learning for the development of predictive artificial intelligence models
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), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas, SHAP, TensorFlow, etc.) y específicas de análisis de imágenes, estadística, simulación, entornos cloud (tipo Kubernetes
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machine learning and data set annotation. Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial
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databases containing spectral, chemical, mineralogical, and cartographic data of lunar samples. The role involves using Geographic Information Systems (GIS) such as QGIS and applying machine learning
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title: Human-Centred Machine Learning: Lighter, Clearer, Safer (ACHILLES) Research line / Scientific-technical services: AI in health Grant/funding period: START: 01/11/2024 END: 31/10/2028 Centre
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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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responds to unmet medical needs. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition
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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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person will work within the Information & Computing Lab (I&CLab) research group in the design of contents, materials and activities focused on machine learning, artificial intelligence and IoT