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on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who
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of campuses and learning centres, combining in-person and flexible distance education to reach learners across the Blue Pacific and beyond. Guided by Pacific values of inclusive and participatory
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at the interface of machine learning, deep learning, geospatial AI, causal modelling, and digital health systems. Your Role You will develop the core AI and data-driven models that transform large-scale
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of Environment and Sustainability (SEAS) at the University of Michigan invites individuals to apply for the position of LEO Lecturer Intermittent to teach one class in Fall 2026 on Energy Project Finance. A
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.” As such, the Sanford School is committed to research that matters, teaching that empowers and inspires, deep engagement with the policy world, and building a diverse and inclusive community. The MIDP
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: ED431F 2025/32 Álvaro Leitao Rodríguez Job title: ED431F 2025/32 Álvaro Leitao Rodríguez Research line / Scientific-technical services: Deep Learning for numerical solutions Grant/funding period: START: 18
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for promotion in academic rank, participation in shared governance, and sabbatical leaves (see https://sites.udel.edu/ctcaucus/why-do-you-want-to-be-a-ct-faculty-at-ud/ for details). The Department of Physics
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods