24 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Spain
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- Center for Machine Learning Research (CMLR), Peking University
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- Heidelberg University
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- School of Quantum at the University of Chinese Academy of Sciences (UCAS)
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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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and prompt templates. Design and implement AI algorithms and systems, including but not limited to neural networks and machine learning, computer vision, intelligent decision-making, recommender systems
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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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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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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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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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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
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mandatory. · Personal Competences: We are seeking highly motivated, independent thinkers, who are well organised and willing to learn. Summary of conditions: Full time work (37,5h/week) Contract