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Field
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matter (LCDM) model, and has continued to be at the forefront of cosmology research. We are particularly interested in candidates with research interests in the following areas: • ERC post: Cosmological
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projects. Strong proficiency in the following areas, and the ability to integrate them into complex workflows: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point
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. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
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(IDH1/2) genes and this project focusses on how these mutations re-program liver cells, in the context of biliary cancer. We are using CRISPR-edited human cells and novel transgenic models in mice
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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on computational modelling of the electrode/protein bioiterface. We are seeking highly motivated postdoctoral candidates willing to fully commit to an exciting, cutting-edge project. The skills we are looking
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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analysis from the project’s “Citizen Science” initiative. Conducting robust statistical analyses of complex datasets, using appropriate methods such as forced-choice preference task analyses, multilevel
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at the Higgs Centre for Theoretical Physics, to work on the development of efficient methods for bootstrapping Standard Model amplitudes. The Research Associate will contribute to the European Research
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we