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, inquisitive, enthusiastic, creative and self-reliant mind-set; Strongly motivated to obtain a PhD degree; Excellent English language proficiency (a minimum of CEFR C2 level). For more information about this
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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Additional Skills and Experience Experience utilising and integrating multiple methods and multiple kinds of data in their research Proven ability to implement research projects on time and to a high quality
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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
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, the ideal candidate will also have an interest in developing quantitative data analysis skills. The PhD is supervised by Dr. Ann-Marie Creaven (expert in loneliness) and Dr. Aoife Whiston (expert in network
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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PhD: Climate- and Energy Drought-Resilient Energy System Decarbonisation Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application
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CLIA certifications. They will oversee multiple large clinical trials, train team members on specialized experimental techniques, and assist in the writing of manuscripts and grant proposals
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quality and resilience scores for multiple pharmaceutical products and 2) perform research on the drivers of higher or lower quality risk and resilience. This is a large project with multiple research