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tasks: Develop machine learning and deep learning models for weather and climate (e.g., nowcasting, climate downscaling). Design and follow projects related to AI models for weather and climate Supervise
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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innovation. With us, your curiosity will know no bounds. We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value
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innovation. With us, your curiosity will know no bounds. We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value
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experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds. We are dedicated
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your scientific and professional skills by: Designing and leading analyses that apply state-of-the-art generative machine learning models (e.g., VAEs, GANs, transformer-based models) to large-scale
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-tropical Andes. ESA CCI+ Snow: Contributing to the European Space Agency’s Climate Change Initiative to provide long-term satellite-based products for climate monitoring. Key Responsibilities Design and
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innovation. Your Responsibilities You will contribute to research activities including: Designing MLOps pipelines for autonomous and AI-enabled cyber-physical systems (AI-CPS), including UAVs and other
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communication skills in English ADDITIONAL SKILLS Further experimental skills Strong problem-solving attitude High motivation to learn Spirit of innovation and creativity Good at time and priority management
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research interests of the Mathematics Area at GSSI are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical