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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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Requirements Experience in the development of software solutions that allow the anonymization or pseudonymization of named entities and sensitive data. Machine learning/deep learning training. Good level of
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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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Nanotechnology or similar Knowledge andprofessional experience: Knowledge of machine learning and active learning in material science. Experience working in multidisciplinary environment. Personal Competences
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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Machine-learned force field Metamaterials (nanophotonics, metamaterials/metasurfaces, and metamaterial-enabled optical computing) If you are a passionate and innovative scientist or researcher eager to make
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are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational