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the Job related to staff position within a Research Infrastructure? No Offer Description Two PhD positions in machine learning in our group. One funded by WASP---Wallenberg AI, Autonomous Systems and
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(https://www.nottingham.edu.cn/en/humanities-and-social-sciences/schools-and-department/education-and-english/home.aspx ). For PhD application information and support within the areas of Education and
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required. Language requirements Not required for the PhD programme Application deadline No deadlines For details, see: https://www.gradschool.physics.uni-bonn.de/applying/applying-for-phd-in-bonn-or-cologne
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Inspiralis Ltd. (https://www.inspiralis.com ). The student will receive comprehensive support to learn diverse techniques and engage with both national and international laboratories working on RNA
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
of enrollment at a PhD which must be presented at the time of contract signature; v) motivation letter; Applications must be submitted at https://welcome.isr.tecnico.ulisboa.pt/opportunities/ Where to apply
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance
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. Hu, X. Wei, X. Wu, J. Sun, J. Chen, Y. Huang, J. Chen, A deep learning-enhanced framework for multiphysics joint inversion, Geophysics, 88(1), K13-K26, 2023. https://doi.org/10.1190/geo2021-0589.1 [3
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intelligence, or similar) is essential for the PhD focused on ‘Technology’. Candidates should be highly self-motivated, able to demonstrate initiative and have a desire to learn, and able to work as part of a
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expertise. In addition, programme participants acquire a certain breadth in the field as they interact with fellow students, participate in PhD training sessions and attend lecture series featuring prominent
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets