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, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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policies. ● Data management and/or data analysis experience or aptitude. About the Department To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology . Pay and Benefits
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to Dr Duo Chan. About You Given the interdisciplinary nature of the post, we welcome applications from candidates with a PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science
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in MRI sequence programming, preferably using the Siemens IDEA platform, is a plus, particularly for projects involving sequence development. Experience applying deep learning techniques
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, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development