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and AI Virtual Institute (HAVI), funded by the Schmidt Sciences Foundation. The research assistant will work with Dr Sebastian Ahnert's Structural Complexity research group in the Department of Chemical
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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to advance understanding of diversification, ownership structures, and welfare effects in financial markets. The post holder will contribute to the project’s research agenda by undertaking theoretical
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innovation project delivering real business impact. Receive structured supervision, mentoring, and formal training from both the business partner and university. Develop skills through real-world problem
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status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity
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-structured interviews with young people about these practices. Your tasks will include: applying qualitative and quantitative methods from visual studies, digital ethnography, and/or applied linguistics
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behaviour, market microstructure, and platform economics to generate testable predictions and policy insights Develop and estimate structural models of trading behaviour to understand deep parameters and
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning
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submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure. Upon successful award of your PhD and evidence of this fact, you will be promoted
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structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .