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contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support junior researchers on SOT-related topics. Requirements: Education: PhD in
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exploration and etc. We are seeking distinguished scholars who will teach at UCAS while conducting research at CAS institute platforms—focusing first on over 20 key areas. Early-career scientists worldwide
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques and DFT. Demonstrated strong coding skills and a passion for UX/UI design. Summary
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parameters affect material properties and functional performance, and interacting with machine-learning and modelling teams to translate experimental results into predictive datasets. Preparing reproducible
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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/MS workflows, spectral library searches and data curation. Search the scientific literature for suitable protocols and systematically test promising approaches to improve sample preparation. Learn
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: mathematics (algebra, geometry, probability theory, optimization theory), statistics, theoretical physics, theory of computation. Cutting-edge Disciplines: deep learning theory, generative models, graph neural
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School of Quantum at the University of Chinese Academy of Sciences (UCAS) | Spain | about 7 hours ago
Ph.D. or equivalent degree and have demonstrated ability to conduct outstanding research. Successful candidates are expected to carry out independent and innovative research, be able to teach both
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research environment. Personal Competences: We are looking for a proactive, organized, and collaborative person, with a genuine interest in people and strong motivation to learn and grow. Summary
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commitment to fostering a diverse and inclusive community in the practice and teaching of science. The successful candidates will be expected to have excellent academic achievements, teach graduate and