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thin-films, and identify how manipulating these affect the nanoscale chemical and structural composition of perovskite thin-films. Through gaining understanding and control of these systems from
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vital role in supporting the aims of the project team, requiring a diligent and dedicated scientist to drive our protein chemistry and structural biology pipeline. The role will encompass the expression
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structures chosen from understanding of initial series of compounds and their performance from MRC grant MR/T015845/1) in terms of measurements of efficacy using a validated in vivo model of respiratory
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analysis of curated reaction data and will develop reactivity descriptors based on 2D and 3D structures (generated with high throughput DFT calculations) of organic substrates and reagents. You will develop
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from
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populations and space, particularly for vulnerable and disadvantaged populations. The RA will lead literature review searches to identify the historical, structural, and contextual drivers of disease risk and
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. Experience in processing and analysing neuroimaging data (e.g., MRI, fMRI, DWI) using tools such as FSL, SPM, AFNI, or FreeSurfer. Familiarity or willingness to learn the Brain Imaging Data Structure (BIDS
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of publishing research in peer-reviewed journals: please provide citations for relevant publications. Competence in at least one of Latent Class Analysis (LCA) or Structural Equation Modelling (SEM). Strong
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Materials Science or Chemistry And have significant expertise in the following area: Synthesis and characterisation of air-sensitive materials, including: sulphide-based ionic conductors; structural
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to novel approaches to structure learning, intrinsic motivation, fundamentals of cognition, and the sensorimotor loop, embodied and adaptive robotics. The Research Fellow in Emerging Topics in Adaptive