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Field
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the framework of the ERA Chair project "CBeRa: Strategic Integration of Complex Networks and Systems for Advancing Biomedical Research" (GA 101186558, HORIZON-WIDERA-2023-TALENTS-01), funded by the European
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and guidance system for these micro-swimmers, interacting with real-time optical visualization in a microfluidic network. • Study of the fidelity of the movement of micro-swimmers to the set trajectory
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focuses on three broad overlapping themes: large protein complexes and networks, molecular mechanisms of biology and disease, and synthetic biology, covering all aspects of protein science, with an emphasis
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general to limited supervision. Problems faced are difficult and may be complex. May influence others regarding policies, practices, and procedures. May have project management responsibilities on small
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the start of the appointment. * Applicant must have demonstrated research experience in Quantum Information Science, Quantum Computing, and/or Quantum Networks. Preferred Qualifications: * Experience in
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge of interpretability methods to ensure ML outputs are meaningful in scientific
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to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
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of challenging waste streams containing complex organic pollutants and (micro)plastics. The main purpose of plasma gasification of complexed organic waste is to produce syngas, a valuable precursor to different
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of applying geometric approaches and techniques to solve problems. Networking, actively engaging with and valuing other research areas. Published papers/preprints in relevant academic journals. Excellent oral
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis