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of artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems
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to this call may be national, foreign or stateless candidates holding a PhD degree in the field of Environmental Science and/or Engineering, Environment and Sustainability, Chemistry, Computer Science, Data
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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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, Rubin-LSST, PFS, JCMT, Litebird as well as participation at co-I level of instruments on large explorer mission concepts such as Cassini and JUICE with participation in many other mission and instrument
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://www.academictransfer.com/en/jobs/364058/phd-position-on-socio-emotional… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364058/ Work Location(s) Number of offers
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of sources and chemical transformations are not yet well represented or tested in large-scale models. The goals of this PhD project will be to better represent these processes in a global 3D model, to test
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, supervise junior researchers and students, and contribute to teaching activities in AI and data science for medicine Your Profile PhD in Artificial Intelligence, Computer Science, Data Science, Computational