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Vision, Language and Reading group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is initially for 3 years and linked to the “European Large Open Multi-Modal Foundation Models
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adverse cardiac remodeling, including hypertrophy, fibrosis, and inflammation, and assess cardiac function in mouse models of heart failure using: Molecular biology techniques (RNA/protein extraction, RT
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position within a Research Infrastructure? No Offer Description Reference: 590_25_ES_CES_R2 Job title: Postdoctoral Researcher in Multimodal Foundation Models for Earth System Modeling (R2) About BSC The
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Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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Experience in advanced statistical analysis models Experience working with large imaging datasets Experience in advanced MRI sequence and analysis Ability to work well in a multidisciplinary team
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based on catechol molecules, present in various living organisms (e.g., mussels), have demonstrated unprecedented adhesive properties under wet conditions, biocompatibility, low toxicity and low cost
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https