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: 30.11.2029 Reference no.: 4699 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS Large, deep neural networks
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of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce talented alumni and draw faculty and staff eager to be a part of the
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that supports the GSE's mission to expand educational opportunity, strengthen community engagement, and improve outcomes for underserved populations, particularly in urban education contexts. We maintain a deep
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for creating a safe, nurturing, and spiritually enriching learning environment for young children. In addition to providing academic, social, and emotional development, the Lead Teacher will integrate faith
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce talented alumni and draw faculty and staff eager to be a part of the
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, static user representations, and data sparsity. While deep learning models offer improvements, they often come with high computational costs and require frequent retraining, which limits their scalability