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critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG biosynthetic machinery. Applying novel GAG analytical technologies to investigate how changes
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, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform statistical analyses to assess stability and plasticity of multisensory
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from induced pluripotent stem cells (iPSCs) to create in vitro models for studying critical steps of gastrulation and early development. Creating iPSC lines with mutations in elements of the GAG
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analytical and problem-solving skills. If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than 6.0 in each component. Desirable Skills: Experience with remote
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Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for 3 years and includes full Home tuition fees plus a stipend of £19,215 per annum 2025
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals monolayers of transition metal dichalcogenide superconductors
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate