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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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fundamental research, we create widely used open-source software including autodE, cgbind/C3, and mlp-train. Our recent advances in Machine Learning Interatomic Potentials (MLIPs) form the foundation of our ERC
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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing
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are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The second goal is to develop methods that handle the increasing
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space and time’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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force. The project will use a range of optical methods to examine and measure interactions in colloidal and molecular systems. The research requires strong interest in and knowledge of the broad area of
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spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
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complemented by biochemical and, where appropriate, structural methods. The successful candidate will be expected to work independently while contributing conceptually to the overall research programme. This
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quantitative cell-based assays, flow cytometry-based and imaging approaches complemented by biochemical and, where appropriate, structural methods. The successful candidate will be expected to work independently
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency