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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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to provide PhD students with an in depth understanding of the fundamental theories and learning methods, as well as advanced issues of neural networks and deep learning. Students will gain an in depth
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large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows
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invites applications for a full-time, Non-Tenure Teaching Track, Assistant Professor position with a specialization in Generative AI, Large Language Models (LLMs), and Deep Learning. We seek a dynamic
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Physics with applications to Material discovery and quantum chemistry - Gen AI designing materials with target properties Astrophysics and cosmology: Deep learning for telescope image analysis
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that preserves object identity or style. They should have a solid publication record in top-tier computer vision conferences such as CVPR, ICCV, or ECCV, and demonstrate proficiency in deep learning frameworks
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, using fast cameras, radiation detectors, and deep-learning architectures capable of operating within milliseconds. It will also include collaboration with medical physicists and clinicians to integrate
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https://www.academictransfer.com/en/jobs/357205/2x-phd-positions-in-the-mathema… Requirements Specific Requirements You have, or will shortly, acquire a Master's degree in either Mathematics
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) Position Description: Apply Position Description Faculty, National Math Camps (Summer Role) National Math Camps is seeking passionate and energetic math faculty to help us inspire and teach mathematically
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular