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at Zürich) and builds on a substantial body of work already performed by this team. It represents a unique and exciting opportunity to undertake simulations that feed into and from extensive biochemical data
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. Working within an interdisciplinary team, you will develop frameworks that connect atomistic features, mesoscale dynamics, and device-level performance. The effort will integrate heterogeneous data from
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collaboration with leading experts in chemical synthesis, advanced characterization, and atomistic simulations. Located in the Zurich Area, Empa offers outstanding infrastructure, a broad interdisciplinary
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passionate about linking atomistic processes to device performance through computer simulations? Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI
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problems. Its members are active in the fields of docking, atomistic and coarse-grained simulations tackling problems such as protein/protein and protein/DNA interactions, dynamics and function
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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recognized for developing and applying computational methodologies to solve biologically relevant problems. Its members are active in the fields of docking, atomistic and coarse-grained simulations tackling
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this project, you will be deploying first-principles simulations to study interfaces between semiconductor layers inside industrial devices. We will use artificial intelligence (AI) to perform interface
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glasses. Your Tasks The successful candidate will be part of an international team whose research activities focus on the synthesis, advanced nanocharacterization and atomistic simulation of complex
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technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you