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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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and inclusive community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate
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growth of young talents in science and technology. The program seeks to cultivate a great number of outstanding academic backbones capable of reaching the cutting edge of science and technology worldwide
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• Quantum materials • Electronic materials • Materials informatics • Wearable sensors • Materials modeling and computation Qualification of Candidates Applicants must have a PhD degree in relevant fields
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to improve outcomes, make progress, and benefit the generations that follow. Visit http://group.springernature.com/ and follow @SpringerNature / @SpringerNatureGroup About The Brand Nature Portfolio is a
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. This could include, but is not limited to, organic solar cells, perovskite solar cells and perovskite optoelectronics, and tandem solar cells. Experience with applied computational methods and machine