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Are you passionate about machine learning, natural language processing, or computer vision? We are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan
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of the key challenges that our world faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In
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systems with a specific focus on AI and machine learning-based approaches, research, develop, and validate scheduling, optimization, and adaptation algorithms for distributed data-centric computing systems
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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-informed machine learning. You have excellent spoken and written English language skills*, and demonstrable collaborative, communicative and organizational competences. Affinity with inverse problems
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political philosophy and public policy ethics, practical ethics, public administration, educational sciences, AI and digital governance, and computer science (machine learning). The postdoc will conduct both
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methodologies (e.g. physics embedded machine learning) for sparse 2D Tx-Rx topologies integrated with DoA estimation. Verify theoretical results via simulations and experiments. Contribute to the scientific
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or more of the following techniques: High Performance Computing, research data management, data science, machine learning or other artificial intelligence (AI) related topics; Experience with basic Linux
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algorithms, staying abreast of the latest advancements and breakthroughs in the field. Develop innovative EM-driven optimization methodologies (e.g. physics embedded machine learning) for sparse 2D Tx-Rx
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. Nanotechnol. 16, 414 (2021), An atomic Boltzmann machine capable of self-adaption. [5] Kamlapure et al., Nat. Commun. 13, 4452 (2022), Tuning lower dimensional superconductivity with hybridization at a