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doctoral studies at Chalmers here . Your role and responsibilities Perform first principles calculations within the Density Functional Theory. Develop adaptive kinetic Monte Carlo models for reaction
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important topological structures thought to contain the essence of confinement. This project will use a first-principles approach in which large-scale simulations of QCD are performed on a discretised
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end
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measurements, to thoroughly analyse data, to use and/or develop models and to publish in international peer-reviewed journals. Skills in data handling, modelling, databases and also experience in computer
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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Preferred selection criteria Experience within the field of nanomagnetism. Experience with working in a cleanroom. Experience with micro- or nanofabrication. Interest in computer-based simulated experiments
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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dehydrogenation with various oxidants. Evaluate concepts, test catalysts, and design and optimize continuous plants. Your tasks in detail: Conceive chemical processes based on thermodynamic principles and