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. These models should be based on accurate predictions of phase stability and defect kinetics. This research project focuses on developing the atomistic models that can provide such predictions. The successful
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of these digital twins requires reliable and predictive models for microstructure formation during steel processing. These models should be based on accurate predictions of phase stability and defect kinetics
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early steps in lung tumor development. You will use cutting-edge techniques including lung organoid models, single-cell transcriptomics and epigenomics, and CRISPR-based genetic perturbation. Key
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energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy sources. Such modelling provides essential tools for designing low-carbon
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, investment, wage-setting, and the transmission of policy. While traditional models provide a strong foundation, growing evidence suggests that real-world expectation formation is shaped by informational
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in conducting model-based studies with regard to disease, diagnosis and treatment, outcomes and care logistics. An affinity with scientific research - especially business and economic scientific
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axioms of rational choice theory but also demonstrate consistency across different formulations of the same decision problem. Just as humans exhibit framing effects, AI models may reach contradictory
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Organisation Job description Among the most challenging to develop catalytic reactions are stereoselective processes. Typically, a family of catalysts is explored based on a preliminary hypothesis
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. Typically, a family of catalysts is explored based on a preliminary hypothesis. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends
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) in prebiotically relevant molecules be created? How can chiral amplification be achieved to result in exclusive homochiral molecules? In this PhD project, we aim to use model reactions to discover