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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in
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areas of nanoscience and nanotechnology. Job title: Postdoctoral Researcher - AI Development for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description
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electrochemical scanning probe microscopy including scanning tunnelling microscopy. Main Tasks and responsibilities: The successful candidate will combine classical electrochemical methods with in situ
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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, with a highly innovative research and technology transfer project, this could be your opportunity. Main Tasks and responsibilities: To develop and optimize the analytical performances of the multipled
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areas of nanoscience and nanotechnology. Job Title: Research Assistant in Active learning Research area or group: Theoretical and Computational Nanoscience Group Description of Group/Project: In
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areas of nanoscience and nanotechnology Job Title: Research Engineer - AI Development for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical