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1-2 PhD/Postdoc positions in AI for Computationa ... (No replies)
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We welcome candidates with a background in physics, chemistry, materials science or computer science who are curious about applied machine learning in natural sciences. Prior experience with first principles and classical materials simulations, spectroscopy, coding and data science is a bonus. We seek colleagues who enjoy programming, scripting and analytics, and are keen to push the boundaries of computational materials research. This project require creative thinking, technical skills and a broad understanding of thin film chemistry and structures. We further appreciate willingness to travel, collaborate and communicate science.