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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
-PULSE addresses a key open question in responsible AI: can we design practical machine learning systems that satisfy strong privacy guarantees [1] and fairness [2] constraints simultaneously, without
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to live, learn and grow. Join us and contribute to our culture. Additional Information: Purdue’s benefits summary https://www.purdue.edu/hr/Benefits/ Purdue will not sponsor employment authorization
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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programmes. We are especially keen to hear from applicants with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Khoury-College-of-Computer-Sciences-SPHERE-Research
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Northwest, Department of Computer Information Technology and Graphics, invites applications for a tenure-track Assistant Professor in Artificial Intelligence, with employment starting on August 17, 2026
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
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, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen-research and immunology, tackling questions that matter for global health. The position
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in